CN117012318A - Data tagging method and device based on clinical scientific research event - Google Patents
Data tagging method and device based on clinical scientific research event Download PDFInfo
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Abstract
The embodiment of the invention discloses a data tagging method and device based on clinical scientific research events, wherein the method comprises the following steps: acquiring event description information of a target scientific research event, and determining a scientific research event data tag according to the event description information; determining scientific research event metadata associated with a target scientific research event based on the scientific research event data tag, and adding a corresponding scientific research event data tag for the scientific research event metadata; and grouping the scientific research event metadata according to the scientific research event data labels, and respectively carrying out statistical analysis on each group of the grouped scientific research event metadata. The technical scheme of the embodiment of the invention solves the problems that related data of clinical scientific research events need to be manually screened and influences of the scientific research events are determined in the prior art, and the data analysis efficiency and the accuracy of statistical analysis results are insufficient, can screen the related data according to the data labels, and perform statistical analysis on the screened data, thereby improving the data analysis efficiency and the accuracy of the statistical analysis results.
Description
Technical Field
The embodiment of the invention relates to the technical field of medical data processing, in particular to a data tagging method and device based on clinical scientific research events.
Background
When analyzing the influence of clinical scientific research events, the required index detection data is usually screened from the scientific research database manually, the influence of the clinical scientific research event scheme is determined based on the statistical analysis result of the screened index detection data, the efficiency of data analysis is to be improved, and the finally determined statistical analysis result may have deviation.
Disclosure of Invention
The embodiment of the invention provides a data tagging method, a device, equipment and a storage medium based on clinical events, which can screen related data according to data tags and perform statistical analysis on the screened data, thereby improving data analysis efficiency and accuracy of statistical analysis results.
In a first aspect, an embodiment of the present invention provides a method for labeling data based on clinical events, the method comprising:
acquiring event description information of a target scientific research event, and determining a scientific research event data tag according to the event description information;
determining scientific research event metadata associated with the target scientific research event based on the scientific research event data tag, and adding the corresponding scientific research event data tag for the scientific research event metadata;
and grouping the scientific research event metadata according to the scientific research event data tag, and respectively carrying out statistical analysis on each group of the grouped scientific research event metadata.
In a second aspect, embodiments of the present invention provide a data tagging device based on a clinical event, the device comprising:
the scientific research event data tag determining module is used for acquiring event description information of a target scientific research event and determining a scientific research event data tag according to the event description information;
the scientific research event data tag adding module is used for determining scientific research event metadata associated with the target scientific research event based on the scientific research event data tag and adding the corresponding scientific research event data tag for the scientific research event metadata;
and the data statistics analysis module is used for grouping the scientific research event metadata according to the scientific research event data labels and respectively carrying out statistics analysis on each group of the grouped scientific research event metadata.
According to the technical scheme provided by the embodiment of the invention, the event description information of the target scientific research event is obtained, and the scientific research event data label is determined according to the event description information; determining scientific research event metadata associated with the target scientific research event based on the scientific research event data tag, and adding the corresponding scientific research event data tag for the scientific research event metadata; and grouping the scientific research event metadata according to the scientific research event data tag, and respectively carrying out statistical analysis on each group of the grouped scientific research event metadata. The technical scheme of the embodiment of the invention solves the problems that related data of clinical scientific research events need to be manually screened and influences of the scientific research events are determined in the prior art, and the data analysis efficiency and the accuracy of statistical analysis results are insufficient, can screen the related data according to the data labels, and perform statistical analysis on the screened data, thereby improving the data analysis efficiency and the accuracy of the statistical analysis results.
Drawings
FIG. 1 is a flow chart of a method for tagging data based on clinical events provided by an embodiment of the present invention;
FIG. 2 is a flowchart of yet another method for tagging data based on clinical events provided by an embodiment of the present invention;
FIG. 3 is a schematic diagram of a preset medical scientific research management interface according to an embodiment of the present invention;
FIG. 4 is a workflow diagram for data tagging of clinical events provided by an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a data tagging device based on clinical events according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Fig. 1 is a flowchart of a data tagging method based on a clinical event according to an embodiment of the present invention, where the embodiment of the present invention is applicable to a scenario in which statistical analysis is performed on data of a clinical scientific research event, the method may be performed by a data tagging device based on a clinical event, and the device may be implemented by software and/or hardware.
As shown in fig. 1, a method for tagging data based on clinical events includes the steps of:
s110, acquiring event description information of a target scientific research event, and determining a scientific research event data tag according to the event description information.
The target scientific research event can be an event requiring scientific research data analysis. The event description information may be information describing related matters of the target scientific research event. The event description information of the target scientific research event can be obtained through a man-machine interaction mode, for example, the event description information of the target scientific research event can be determined based on selection operation on a preset interface. For example, when a user wants to perform scientific research on the influence of metformin on the blood glucose level of diabetes of 20-30 years old, the user can select corresponding age options, disease options, treatment mode options, detection values and other options on a preset medical scientific research management interface, and then determine event description information according to the selection operation of the user.
The research event data tag may be a data tag related to a target research event. The scientific research event data label can be determined according to the event description information. Specifically, keywords in the event description information can be extracted, and corresponding scientific research event data labels can be determined according to the keywords. Taking the above example as an example, the scientific research event data label may include a label such as a diabetes patient label, an age label, a treatment mode label, a pre-treatment blood glucose level label, and a post-treatment blood glucose level label. By generating the scientific research event data label, the corresponding data can be quickly searched based on the scientific research event data label, and the efficiency of analyzing the medical scientific research event can be improved.
S120, determining scientific research event metadata associated with the target scientific research event based on the scientific research event data label, and adding the corresponding scientific research event data label for the scientific research event metadata.
The scientific research event metadata may be raw data related to a target scientific research event. Specifically, based on the scientific research event data tag, data associated with the target scientific research event can be screened from a preset database, and the screened data is used as scientific research event metadata. For example, in the above example, diabetics who use metformin between 20 and 30 years old and those who do not use metformin may be screened, and then the blood glucose values before and after the treatment of the screened patients under the corresponding treatment methods may be used as metadata of scientific research events. And then, adding a corresponding scientific research event data tag to the screened scientific research event metadata, so that the data needing to be subjected to data analysis can be conveniently and quickly identified later.
S130, grouping the scientific research event metadata according to the scientific research event data tag, and respectively carrying out statistical analysis on each group of the grouped scientific research event metadata.
The statistical analysis may be a data analysis method that obtains the influence of a certain factor by comparing the data differences. After screening the scientific events metadata, the scientific events metadata can be grouped according to the scientific events data labels, and specifically, the scientific events metadata can be grouped according to one or more combinations of the scientific events data labels.
For example, in the scenario of screening diabetic patients who have used metformin and have not used metformin between 20 and 30 years old and analyzing blood glucose values before and after treatment of the screened patients under the corresponding treatment methods, the scientific research event data label may include an age label, a treatment mode label and a treatment detection value label. The treatment mode labels may in turn specifically include a "use metformin label" and an "unused metformin label", and the treatment test value labels may in turn specifically include a "pre-treatment test value label" and a "post-treatment test value label".
Further, a set of pre-treatment test values of 20 years old to 30 years old with metformin can be selected from the scientific event metadata based on the "20 years old to 30 years old age tags", "with metformin tags" and "pre-treatment test value tags"; accordingly, a set of post-treatment test values for 20 years to 30 years of use of metformin can be screened from the scientific event metadata based on the "20 years to 30 years of age tag", "use of metformin tag" and "post-treatment test value tag".
Likewise, a set of pre-treatment test values of 20-30 years old unused metformin can be screened from the scientific event metadata based on the "20-30 years old tags", "unused metformin tags" and "pre-treatment test value tags"; accordingly, a set of post-treatment test values for 20-30 years of age without metformin can be screened from the scientific event metadata based on the "20-30 years of age tag", "no metformin tag" and "post-treatment test value tag". The scientific research event metadata are grouped according to the scientific research event data labels, so that the follow-up statistical analysis of different groups of data can be conveniently carried out, and the follow-up statistical analysis of the data can be conveniently carried out.
Further, after grouping, statistical analysis can be performed on metadata of each group of grouped scientific research events, and then the statistical analysis result is used as a data analysis result corresponding to the target scientific research event. And performing variance analysis on the scientific research event metadata in the same group and among different groups to obtain a final data analysis result.
According to the technical scheme provided by the embodiment of the invention, the event description information of the target scientific research event is obtained, and the scientific research event data label is determined according to the event description information; determining scientific research event metadata associated with a target scientific research event based on the scientific research event data tag, and adding a corresponding scientific research event data tag for the scientific research event metadata; and grouping the scientific research event metadata according to the scientific research event data labels, and respectively carrying out statistical analysis on each group of the grouped scientific research event metadata. The event description information can be information describing related matters of the scientific research event and can be used for generating corresponding scientific research event data labels; the scientific research event data tag can be used for quickly searching and grouping the data related to the scientific research event later; the scientific research event metadata can be data which is screened out based on the scientific research event data label and related to the scientific research event. By carrying out statistical analysis on the metadata of the scientific research events, the analysis result of the scientific research events can be determined. The technical scheme of the embodiment of the invention solves the problems that related data of clinical scientific research events need to be manually screened and influences of the scientific research events are determined in the prior art, and the data analysis efficiency and the accuracy of statistical analysis results are insufficient, can screen the related data according to the data labels, and perform statistical analysis on the screened data, thereby improving the data analysis efficiency and the accuracy of the statistical analysis results.
Fig. 2 is a flowchart of another method for labeling data based on clinical events, which is provided by the embodiment of the present invention, where the embodiment of the present invention is applicable to a scenario in which data of clinical scientific events are statistically analyzed, and on the basis of the foregoing embodiment, the embodiment further illustrates how to obtain event description information of a target scientific event, and determine a scientific event data label according to the event description information; how to determine scientific research event metadata associated with a target scientific research event based on the scientific research event data label, and adding a corresponding scientific research event data label for the scientific research event metadata; how to group the scientific events metadata according to the scientific events data labels, and respectively carrying out statistical analysis on each group of the grouped scientific events metadata. The apparatus may be implemented in software and/or hardware, and integrated into a computer device having application development functionality.
As shown in fig. 2, a method for tagging data based on clinical events includes the steps of:
s210, acquiring selection operation of a user on a preset medical event item on a preset medical scientific research management interface, and determining event description information.
The preset medical scientific research management interface can be a preset interface for managing related data of medical scientific research events, and a user can perform corresponding operation on the interface for managing the data of the medical scientific research events. The preset medical event item can be a control item corresponding to a medical event, and a user can select an event item corresponding to the medical event which is required to be subjected to scientific research on a preset medical scientific research management interface so as to determine a target medical event. For example, when the user wants to perform scientific research on the influence of metformin on the blood glucose level of diabetes between 20 and 30 years old, the user can select corresponding options such as age options, disease options, treatment mode options, detection values and the like on a preset medical scientific research management interface, and then determine event description information according to the selection operation of the user. The data analysis standard of the existing statistical analysis technology is relatively fixed, and is not suitable for research event research, but in the embodiment of the invention, a user flexibly matches and tries the research event options in the interface according to the research needs, analyzes related data from the angles of multiple attributes, multiple data types and multiple calculation modes, and is more suitable for research event research. Fig. 3 is a schematic diagram of a preset medical scientific research management interface according to an embodiment of the present invention. As shown in fig. 3, the right side of the preset medical scientific research management interface includes a plurality of preset medical event items, specifically including an age option, a disease option, a treatment mode option, a detection value option and other options, and a user can select a corresponding preset medical event item according to medical scientific research; on the left side of the preset medical scientific research management interface, there is event description information formed by combining selected preset medical event items, specifically, the event description information can be formed by combining according to age, symptoms, treatment modes, detection values and other permutation and combination modes.
The event description information may be information describing a related item of the medical research event selected by the user. The event description information may be determined based on a user's selection operation of a preset medical event item on a preset medical scientific research management interface. For example, the information corresponding to the preset medical event item selected by the user may be arranged and combined, so as to obtain the event description information. For example, when a user wants to research the effect of metformin on the blood glucose level of diabetes between 20 and 30 years old, the user can select "20 and 30 years old" in the age option, "diabetic patient" in the disorder option, "whether to use metformin" in the treatment mode option, and "blood glucose level before and after treatment" in the detection value option; the information in each option can then be ranked and combined to determine the event profile as "statistical analysis of pre-and post-treatment blood glucose values for 20-30 year old diabetic patients with metformin". By acquiring the selection operation of a user on a preset medical event item on a preset medical scientific research management interface and determining event description information, the related information of the target medical event can be quickly acquired based on the interactive operation of the user, so that the related data analysis can be conveniently carried out according to the acquired related information of the target medical event, and the efficiency of the data analysis is improved.
S220, extracting keywords in the event description information to obtain target scientific research event attribute information, and generating corresponding scientific research event data labels according to the target scientific research event attribute information.
The target scientific research event attribute information may be key information in the event description information. Specifically, keyword extraction can be performed on the event description information to obtain the attribute information of the target scientific research event. For example, in the above example, the target scientific research event attribute information that may be extracted includes: age information of a diabetic patient, treatment mode information of the diabetic patient, and blood glucose level information before and after treatment.
The research event data tag may be a data tag related to a target medical research event. After the target scientific research event attribute information is obtained, a corresponding scientific research event data label can be generated according to the target scientific research event attribute information. For example, the scientific event data label may include a label such as a diabetes patient label, an age label, a treatment mode label, a pre-treatment blood glucose level label, and a pre-treatment blood glucose level label. By generating the scientific research event data label, the corresponding data can be quickly searched based on the scientific research event data label, and the efficiency of analyzing the medical scientific research event can be improved.
And S230, screening out scientific research event metadata associated with the target scientific research event from a preset database based on the scientific research event data label.
The preset database may be a preset database associated with a medical scientific event. For example, in the above example, a patient medical diagnosis database of a hospital may be used as the preset database. The research event metadata may be raw data related to a target medical research event. Specifically, the data sources required in this embodiment are: at least one of a patient's visit record, inspection record, diagnosis record, drug record and or follow-up record can be based on the scientific research event data label, the data associated with the target medical scientific research event can be screened from a preset database, and the screened data can be used as scientific research event metadata. For example, in the above example, diabetics who use metformin between 20 and 30 years old and those who do not use metformin may be screened, and then the blood glucose values before and after the treatment of the screened patients under the corresponding treatment methods may be used as metadata of scientific research events.
S240, classifying the scientific research event metadata according to the types of the scientific research event data tags, and adding the corresponding scientific research event data tags to the classified scientific research event metadata.
In order to facilitate subsequent data statistics analysis, the scientific research event metadata can be classified according to the type of the scientific research event data tag. For example, the age information may be selected as a type of the scientific research event data tag, the scientific research event metadata may be classified based on the age information, and the corresponding scientific research event data tag may be added to the classified scientific research event metadata. For example, the related data of diabetics aged 20 to 30 years are classified into more than 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 and 30 categories, and corresponding specific age tags are added to the classified metadata of each type of scientific events.
In one embodiment, the process of adding the corresponding scientific research event data label to the classified scientific research event metadata further includes: and determining the scientific research data to be analyzed from the classified scientific research event metadata according to the scientific research event data label, and adding a corresponding scientific research event data label to the scientific research data to be analyzed.
The scientific research data to be analyzed can be scientific research event metadata required for subsequent data analysis. The scientific research data to be analyzed can also be determined from the classified scientific research event metadata according to the scientific research event data label. For example, in the above example, the patient has data of multiple blood glucose level tests before and after treatment, and excessive unimportant intermediate data is used for subsequent data analysis, so that on one hand, the pressure of data analysis is increased, and on the other hand, the result of data analysis is affected, so that it can be determined from the classified scientific event metadata according to the scientific event data label, which blood glucose level test data is used as the blood glucose level before treatment, and which blood glucose level test data is used as the blood glucose level after treatment.
Therefore, in order to reduce the introduction of intermediate data as much as possible, the user can set a certain blood glucose level detection data before the treatment as a pre-treatment blood glucose level and a certain blood glucose level detection data after the treatment as a post-treatment blood glucose level. For example, in the scenario of performing statistical analysis on the blood glucose values before and after treatment of a diabetic patient who is 20-30 years old, in order to better reflect the difference condition of the blood glucose values before and after treatment, the first blood glucose value detection data before treatment may be used as the blood glucose value before treatment, the last blood glucose value detection data after treatment may be used as the blood glucose value after treatment, and then the corresponding scientific research event data label may be added to the data label to be analyzed. In addition, the user may set a certain blood glucose level detection data as the pre-treatment blood glucose level and a certain blood glucose level detection data as the post-treatment blood glucose level according to the current scientific research event scenario, which is not limited herein.
S250, grouping the scientific research event metadata according to the attribute information of the scientific research event data tag.
The attribute information of the scientific research event data tag may be information related to the target medical scientific research event. For example, attribute information of the scientific event data tags includes, but is not limited to, an age data tag, a treatment data tag, and a test item data tag. Grouping the scientific research event metadata according to the attribute information of the scientific research event data tag comprises: the scientific events metadata is grouped according to at least one of an age data tag, a treatment data tag, or a test item data tag.
For example, the scientific research event metadata may be classified according to an age data tag and a treatment data tag; the same type of scientific events metadata is grouped based on the inspection item data tags.
Taking the above example as an example, after grouping metadata of scientific research events, two groups can be obtained, which are respectively: "treatment with metformin" and "treatment without metformin"; the "group treated with metformin" can be further divided into "group of blood glucose values before treatment with metformin" and "group of blood glucose values after treatment with metformin"; accordingly, "the group not treated with metformin" can be further divided into "the group of blood glucose values before treatment with metformin" and "the group of blood glucose values after treatment with metformin". And the scientific research event metadata is further refined and grouped according to the attribute information of the scientific research event data label, so that the follow-up data statistical analysis is convenient to carry out.
And S260, respectively carrying out statistical analysis on the grouped scientific research event metadata, and determining a target scientific research event analysis result according to the statistical analysis result.
The statistical analysis may be a data analysis method. The analysis result of the target medical scientific research event may be a result after statistical analysis of data related to the target medical scientific research event. And respectively carrying out statistical analysis on the grouped scientific research event metadata, and determining a target scientific research event analysis result according to the statistical analysis result.
Specifically, statistical analysis can be performed on the grouped scientific research event metadata respectively, and a target scientific research event analysis result is determined according to the statistical analysis result, including: performing intra-group variance analysis on the scientific research event metadata of the same group to obtain an intra-group statistical analysis result; performing inter-group variance analysis on the scientific research event metadata of different groups to obtain an inter-group statistical analysis result; and determining an inter-group target scientific research event analysis result according to the inter-group intra-group statistical analysis result and the inter-group statistical analysis result.
The intra-group analysis of variance may be a data analysis method for performing analysis of variance on metadata of scientific research events of the same group. The intra-group statistical analysis results may be statistical analysis results of the scientific research event metadata of the same group. Specifically, the intra-group statistical analysis result can be obtained by performing intra-group variance analysis on the scientific research event metadata of the same group. Accordingly, the inter-group analysis of variance may be a data analysis method for performing analysis of variance on metadata of scientific research events of different groups. The group statistical analysis result may be a statistical analysis result of scientific research event metadata of different groups. Specifically, the statistical analysis result between groups can be obtained by performing the inter-group variance analysis on the scientific research event metadata of different groups.
Illustratively, taking the above examples as examples, intra-group analysis of variance may be performed on "pre-treatment with metformin" and "post-treatment with metformin" and "pre-treatment without metformin" and "post-treatment without metformin" respectively, to obtain the results of intra-group statistical analysis. The internal variance analysis of the groups can be used for knowing whether random errors exist or not, so that the blood sugar values in the groups are unequal and abnormal, and the accuracy of statistical analysis is improved. The data of the "treatment with metformin" and "treatment without metformin" were then subjected to an inter-group analysis of variance to obtain the results of the inter-group statistical analysis. The effect of metformin on blood glucose levels of diabetes between 20 and 30 years of age was known from the results of the group statistical analysis. The target scientific research event analysis result can be determined according to the inter-group statistical analysis result, and the intra-group statistical analysis result plays an auxiliary role in determining the target scientific research event analysis result and is used for verifying whether the analysis result is reasonable or not.
Alternatively, on the basis of the grouping criteria described above, the user may add the sex as the grouping criteria. Statistical analysis of blood glucose levels in 20-30 year old male and female groupings with metformin was used to determine the effect of metformin on blood glucose levels in patients of different 20-30 years old.
Optionally, based on the grouping criteria, the user may also preset the grouping criteria for the patient's age. Specifically, patients in each of the different age intervals may be grouped according to a preset age interval. For example, patients aged 20-22, 23-24, 25-26, 27-28, 29-30, respectively, may be grouped to determine the effect of metformin on blood glucose levels in patients of different age intervals.
Further, in addition to the grouping criteria listed above, the grouping criteria may be supplemented and modified accordingly by the user as needed for research, and are not limited herein. Through the free switching of different grouping standards, a user can correspondingly modify the grouping standards according to research requirements, so that the applicability and flexibility of scientific research event analysis are improved. In an alternative embodiment, after determining the analysis result of the target scientific research event according to the statistical analysis result among groups, the method further comprises: and adding a corresponding scientific research event analysis result label to the inter-group target scientific research event analysis result based on the inter-group event description information.
The label of the analysis result of the scientific research event may be a label corresponding to the analysis result of the scientific research event. Specifically, a scientific research event analysis result label, that is, a label of information related to a scientific research event, can be determined based on the inter-group event description information. After the target scientific research event analysis results are determined, the corresponding scientific research event analysis result labels are added to the inter-group target scientific research event analysis results, so that the follow-up review of information related to the scientific research event analysis results can be facilitated, and the target scientific research event analysis results can be conveniently and rapidly queried.
Illustratively, FIG. 4 is a workflow diagram for data tagging of clinical events provided by an embodiment of the present invention. As shown in fig. 4, the workflow of data tagging of clinical events includes: firstly, determining a scientific research event to study the influence of metformin on the blood sugar level of a diabetes patient aged 20-30 years, and then, checking out a diagnosis record of the patient diagnosed with diabetes for the first time and aged 20-30 years in a diagnosis list; on the one hand, according to the doctor records, the doctor's advice time of using the dimethyldiguanide in the doctor advice is found, the blood sugar value of the checking time before the doctor's advice time is found, the blood sugar value of the checking time after the doctor's advice time is found and the blood sugar value of the checking time before the diabetes is used for the dimethyldiguanide is marked, and the blood sugar value of the checking time after the doctor's advice time is marked as the blood sugar value of the dimethyldiguanide is found, and the blood sugar value before and after the dimethyldiguanide is used is obtained by subtracting the two; on the other hand, finding out the doctor's advice time without using the metformin ' in the doctor's advice according to the doctor's advice record, finding out the blood sugar value before the doctor's advice time in the checking time, marking the blood sugar value after the doctor's advice time in the checking time as the blood sugar value before the diabetes is not used with the metformin ', marking the blood sugar value after the diabetes is not used with the metformin, subtracting the blood sugar value before and after the diabetes to obtain the blood sugar difference value before and after the diabetes, and finally performing variance analysis on the blood sugar difference values corresponding to different treatment modes to determine the influence of the metformin on the blood sugar value of the diabetes of 20-30 years.
According to the technical scheme provided by the embodiment of the invention, the event description information is determined by acquiring the selection operation of a user on a preset medical event item on a preset medical scientific research management interface; extracting keywords in the event description information to obtain target scientific research event attribute information, and generating corresponding scientific research event data labels according to the target scientific research event attribute information; screening scientific research event metadata associated with a target scientific research event from a preset database based on the scientific research event data label; classifying the scientific research event metadata according to the types of the scientific research event data tags, and adding corresponding scientific research event data tags to the classified scientific research event metadata; grouping the metadata of the scientific research event according to the attribute information of the scientific research event data tag; and respectively carrying out statistical analysis on the grouped scientific research event metadata, and determining a target scientific research event analysis result according to the statistical analysis result. The technical scheme of the embodiment of the invention solves the problems that related data of clinical scientific research events need to be manually screened and influences of the scientific research events are determined in the prior art, and the data analysis efficiency and the accuracy of statistical analysis results are insufficient, can screen the related data according to the data labels, and perform statistical analysis on the screened data, thereby improving the data analysis efficiency and the accuracy of the statistical analysis results.
Fig. 5 is a schematic structural diagram of a data tagging device based on clinical events, which is provided by the embodiment of the present invention, and the embodiment of the present invention may be suitable for a scenario of performing statistical analysis on data of clinical scientific events, where the device may be implemented by software and/or hardware, and integrated into a computer device with an application development function.
As shown in fig. 5, a data tagging device based on a clinical event includes: the scientific research event data tag determination module 310, the scientific research event data tag adding module 320 and the data statistics analysis module 330.
The scientific research event data tag determining module 310 is configured to obtain event description information of a target scientific research event, and determine a scientific research event data tag according to the event description information; a scientific event data tag adding module 320, configured to determine scientific event metadata associated with the target scientific event based on the scientific event data tag, and add the corresponding scientific event data tag to the scientific event metadata; the data statistics analysis module 330 is configured to group the scientific events metadata according to the scientific events data tag, and perform statistics analysis on each group of the grouped scientific events metadata respectively.
According to the technical scheme provided by the embodiment of the invention, the event description information of the target scientific research event is obtained, and the scientific research event data label is determined according to the event description information; determining scientific research event metadata associated with the target scientific research event based on the scientific research event data tag, and adding the corresponding scientific research event data tag for the scientific research event metadata; and grouping the scientific research event metadata according to the scientific research event data tag, and respectively carrying out statistical analysis on each group of the grouped scientific research event metadata. The technical scheme of the embodiment of the invention solves the problems that related data of clinical scientific research events need to be manually screened and influences of the scientific research events are determined in the prior art, and the data analysis efficiency and the accuracy of statistical analysis results are insufficient, can screen the related data according to the data labels, and perform statistical analysis on the screened data, thereby improving the data analysis efficiency and the accuracy of the statistical analysis results.
In an alternative embodiment, the scientific event data label determining module 310 is specifically configured to: acquiring selection operation of a user on a preset medical event item on a preset medical scientific research management interface, and determining the event description information; and extracting keywords in the event description information to obtain target scientific research event attribute information, and generating a corresponding scientific research event data label according to the target scientific research event attribute information.
In an alternative embodiment, the scientific event data tag adding module 320 is specifically configured to: screening out scientific research event metadata associated with the target scientific research event from a preset database based on the scientific research event data tag; classifying the scientific research event metadata according to the types of the scientific research event data tags, and adding the corresponding scientific research event data tags to the classified scientific research event metadata.
In an alternative embodiment, the scientific event data tag adding module 320 is specifically configured to: determining scientific research data to be analyzed from classified scientific research event metadata according to the scientific research event data label; and adding the corresponding scientific research event data tag to the scientific research data to be analyzed.
In an alternative embodiment, the data statistics analysis module 330 is specifically configured to: grouping the scientific research event metadata according to the attribute information of the scientific research event data tag; and respectively carrying out statistical analysis on the grouped scientific research event metadata, and determining a target scientific research event analysis result according to the statistical analysis result.
In an alternative embodiment, the data statistics analysis module 330 is specifically configured to: performing intra-group variance analysis on the scientific research event metadata of the same group to obtain an intra-group statistical analysis result; performing inter-group variance analysis on the scientific research event metadata of different groups to obtain an inter-group statistical analysis result; and determining the analysis result of the target scientific research event according to the intra-group statistical analysis result and the inter-group statistical analysis result.
In an alternative embodiment, the data tagging device based on clinical events further comprises: the scientific research event analysis result labeling module is used for: and adding a corresponding scientific research event analysis result label to the target scientific research event analysis result based on the event description information.
In an alternative embodiment, the data statistics analysis module 330 is specifically configured to: the scientific events metadata is grouped according to at least one of an age data tag, a treatment data tag, or a test item data tag.
In an alternative embodiment, the data statistics analysis module 330 is specifically configured to: classifying the scientific research event metadata according to the age data tag and the treatment data tag; the same type of scientific research event metadata is grouped based on the inspection item data tags.
The data tagging device based on the clinical event provided by the embodiment of the invention can execute the data tagging method based on the clinical event provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (10)
1. A method for tagging data based on clinical scientific events, comprising:
acquiring event description information of a target scientific research event, and determining a scientific research event data tag according to the event description information;
determining scientific research event metadata associated with the target scientific research event based on the scientific research event data tag, and adding the corresponding scientific research event data tag for the scientific research event metadata;
and grouping the scientific research event metadata according to the scientific research event data tag, and respectively carrying out statistical analysis on each group of the grouped scientific research event metadata.
2. The method according to claim 1, wherein the acquiring the event description information of the target scientific events and determining the scientific event data tag according to the event description information includes:
acquiring selection operation of a user on a preset medical event item on a preset medical scientific research management interface, and determining the event description information;
and extracting keywords in the event description information to obtain target scientific research event attribute information, and generating a corresponding scientific research event data label according to the target scientific research event attribute information.
3. The method of claim 2, wherein the determining scientific event metadata associated with the target scientific event based on the scientific event data tag and adding the corresponding scientific event data tag to the scientific event metadata comprises:
screening out scientific research event metadata associated with the target scientific research event from a preset database based on the scientific research event data tag;
classifying the scientific research event metadata according to the types of the scientific research event data tags, and adding the corresponding scientific research event data tags to the classified scientific research event metadata.
4. The method of claim 3, wherein adding the corresponding scientific event data tag to the categorized scientific event metadata comprises:
determining scientific research data to be analyzed from classified scientific research event metadata according to the scientific research event data label;
and adding the corresponding scientific research event data tag to the scientific research data to be analyzed.
5. The method according to claim 1, wherein the grouping the scientific events metadata according to the scientific events data tag and the statistical analysis of the grouped groups of scientific events metadata respectively includes:
grouping the scientific research event metadata according to the attribute information of the scientific research event data tag;
and respectively carrying out statistical analysis on the grouped scientific research event metadata, and determining a target scientific research event analysis result according to the statistical analysis result.
6. The method of claim 5, wherein the performing statistical analysis on the grouped scientific research event metadata respectively, and determining the target scientific research event analysis result according to the statistical analysis result, comprises:
performing intra-group variance analysis on the scientific research event metadata of the same group to obtain an intra-group statistical analysis result;
performing inter-group variance analysis on the scientific research event metadata of different groups to obtain an inter-group statistical analysis result;
and determining the analysis result of the target scientific research event according to the intra-group statistical analysis result and the inter-group statistical analysis result.
7. The method of claim 5, further comprising, after determining the target scientific event analysis result according to the statistical analysis result:
and adding a corresponding scientific research event analysis result label to the target scientific research event analysis result based on the event description information.
8. The method of claim 5, wherein grouping the research event metadata according to attribute information of the research event data tag comprises:
the scientific events metadata is grouped according to at least one of an age data tag, a treatment data tag, or a test item data tag.
9. The method of claim 8, wherein the grouping the research event metadata according to at least one of an age data tag, a treatment data tag, or a test item data tag comprises:
classifying the scientific research event metadata according to the age data tag and the treatment data tag;
the same type of scientific research event metadata is grouped based on the inspection item data tags.
10. A data tagging device based on clinical scientific events, the device comprising:
the scientific research event data tag determining module is used for acquiring event description information of a target scientific research event and determining a scientific research event data tag according to the event description information;
the scientific research event data tag adding module is used for determining scientific research event metadata associated with the target scientific research event based on the scientific research event data tag and adding the corresponding scientific research event data tag for the scientific research event metadata;
and the data statistics analysis module is used for grouping the scientific research event metadata according to the scientific research event data labels and respectively carrying out statistics analysis on each group of the grouped scientific research event metadata.
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