CN105678066B - Disease self-diagnosis method and system based on user feedback information to complete data training - Google Patents
Disease self-diagnosis method and system based on user feedback information to complete data training Download PDFInfo
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- CN105678066B CN105678066B CN201511033293.4A CN201511033293A CN105678066B CN 105678066 B CN105678066 B CN 105678066B CN 201511033293 A CN201511033293 A CN 201511033293A CN 105678066 B CN105678066 B CN 105678066B
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- 201000010099 disease Diseases 0.000 title claims abstract description 95
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 title claims abstract description 95
- 238000012549 training Methods 0.000 title claims abstract description 22
- 238000000034 method Methods 0.000 title abstract description 20
- 238000004092 self-diagnosis Methods 0.000 title 1
- 208000024891 symptom Diseases 0.000 claims abstract description 68
- 238000013499 data model Methods 0.000 claims abstract description 16
- 238000004195 computer-aided diagnosis Methods 0.000 claims description 6
- 241001269238 Data Species 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 3
- 235000013399 edible fruits Nutrition 0.000 claims 1
- 238000013459 approach Methods 0.000 abstract description 3
- 230000008901 benefit Effects 0.000 abstract description 2
- 238000003745 diagnosis Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000036541 health Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000002405 diagnostic procedure Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000033764 rhythmic process Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000002560 therapeutic procedure Methods 0.000 description 1
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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Abstract
The present invention provides a kind of disease autodiagnosis method that data training is completed based on field feedback, includes the following steps: to establish disease autodiagnosis data model, including disease data, disease type data, symptom data, disease-state associated data；User obtains autodiagnosis result by disease autodiagnosis data model and treatment is seen a doctor and suggested according to itself symptom；User provides feedback according to autodiagnosis result or treatment medical treatment result；Disease autodiagnosis data model is analyzed and is learnt according to feedback, and data training is constantly carried out.The invention has the benefit that by means of the present invention, set up disease autodiagnosis data model, and set up a kind of method that data training is completed based on field feedback, perfect data training approaches and methods are provided for disease autodiagnosis information, provide more scientific, accurate foundation for the autodiagnosis of sufferer.
Description
Technical field
The invention belongs to computerized information fields, especially relate to a kind of based on field feedback completion data training
Disease autodiagnosis method and system.
Background technique
Quickly, life stress is also very big, this is just that the health of people is brought very for people's lives rhythm at this stage
More secret worries.Once people's health goes wrong, first choice is hospital, but the people seen a doctor in hospital seems eternal right and wrong again
Chang Duo, even some small symptom, the process entirely seen a doctor, which is got off, to be taken a lot of time；And if when people feel to delay
Between, be unwilling hospital, only buys a little medicines according to the experience of oneself and takes, and is possible to miss golden hour again in this way, indulge in
The accidentally state of an illness.
Based on this phenomenon, if it is possible to have the information platform for helping people to carry out disease autodiagnosis, it will to people
Huge help is generated, people first can carry out just the sufferer of oneself by the content of information platform, in conjunction with the situation of itself
The judgement of phase, symptom are slight, can be carried out according to the content of information platform self it is simple treat, the dangerous development of symptom
When trend, then go hospitalize.
Help people as establishing one carry out the information platform of disease autodiagnosis, need one it is perfect about disease
The database of disease and feature, wherein data will just can guarantee the accuracy of autodiagnosis, provide for people high-quality by continuous training
Service.
Summary of the invention
The problem to be solved in the present invention is to design a kind of disease autodiagnosis side that data training is completed based on field feedback
Method provides perfect data training approaches and methods for disease autodiagnosis information, for sufferer autodiagnosis provide it is scientific, accurately according to
According to.
It should be noted that being information the present invention is based on the disease autodiagnosis method that field feedback completes data training
Learn a kind of application, by the collection of relevant information, analysis in order to provide it is more quasi- take, more scientific diagnosis and treatment scheme, not belong to
In the diagnostic and therapeutic method of disease, therefore the relevant regulations of Patent Law Article 25 are not violated.
In order to achieve the above object, the technical scheme adopted by the invention is as follows: one kind based on field feedback complete data
Trained disease autodiagnosis method, which comprises the steps of:
(1) disease autodiagnosis data model, including disease data, disease type data, symptom data, disease-state are established
Associated data；
(2) user obtains autodiagnosis result by disease autodiagnosis data model and treatment is seen a doctor and suggested according to itself symptom；
(3) user provides feedback according to autodiagnosis result or treatment medical treatment result；
(4) disease autodiagnosis data model is analyzed and is learnt according to feedback, constantly carries out data training.
Further, in step (1) the disease autodiagnosis data model, the disease-state associated data includes disease
It include the symptom probability tale of disease, the symptom probability tale of the disease in the disease data with the weight of symptom
The sum of the weight of the disease corresponding equal to all symptoms of the disease.
Further, the detailed process of the step (2) are as follows:
(201) user selects common symptoms exhibited according to own situation；
(202) it by disease autodiagnosis data model, is diagnosed according to the common symptoms exhibited that user selects；
(203) disease autodiagnosis data model exports diagnostic result to user and provides treatment and see a doctor and suggests, recommends with regard to medical courses in general
Room.
Further, if user has characteristic symptom, after selecting common symptoms exhibited, reselection characteristic symptom.
Further, step (3) feedback includes symptom, diagnostic result, the treatment method confirmed when seeing a doctor.
Further, the method for step (4) the data training are as follows:
(401) information fed back in screening step (3) is simultaneously analyzed；
(402) the already present symptom data of disease autodiagnosis data model judges whether to need to change original weight；
(403) emerging symptom data in user feedback, is added into the corresponding data of disease autodiagnosis data model, and
Configure preliminary weight；
(404) according to the weighted data of update, the symptom probability tale of disease is calculated.
A kind of disease computer-aided diagnosis system using the above method, comprising: autodiagnosis database and autodiagnosis platform；The autodiagnosis data
Library includes disease table, records all disease related datas；Symptom type table, for recording symptom type；Symptom table, for recording
Various symptoms；Disease-state contingency table, for recording the related information between each disease and symptom；The autodiagnosis platform closes
Join autodiagnosis database, is equipped with user's input module, diagnostic module, user feedback module, back-end data training module.
Further, the disease-state contingency table, setting field are used to record between some disease and some symptom
Weight；The symptom probability tale of field record disease is equipped in the disease data table, the symptom probability of the disease amounts to
Number is equal to the sum of the weight of the corresponding disease of all symptoms of the disease.
Further, user's input module includes the input of user's common symptoms exhibited and the input of user's special module.
Further, the back-end data training module operates completion by backstage Medical Technologist.
The invention has the benefit that by means of the present invention, it is established that disease autodiagnosis data model, and set up one
The method that kind completes data training based on field feedback provides perfect data training approach and side for disease autodiagnosis information
Method provides more scientific, accurate foundation for the autodiagnosis of sufferer.
Detailed description of the invention
Fig. 1 is the flow diagram of the embodiment of the present invention.
Specific embodiment
The present invention will be further described combined with specific embodiments below.
Using method of the invention, disease computer-aided diagnosis system, including autodiagnosis database and autodiagnosis platform are established.Autodiagnosis database
Include:
1) disease table (disease) records all disease related datas.
2) symptom type table (symptom_type), for recording symptom type.
3) symptom table (symptom) is used to record various symptoms.
4) disease-state contingency table (disease_symptom) is associated with letter between each disease and symptom for recording
Breath.
Wherein there is a field totalnum in disease table, for recording the symptom probability tale of disease, is denoted as T；
There is a field realnum to be used to record the power between some disease and some symptom in disease-state contingency table
Weight, is denoted as R；
If there is disease A, there are a, b, c with the associated symptom of disease A, then equation can be obtained:
Namely the sum of weight of all symptom corresponding A diseases of A disease is equal with A disease probability tale.
The associated all symptoms of A disease are according to user feedback situation dynamic change for the weight of A disease.
The weight distribution initial value of each symptom is 1, and initial value adds 1 after being fed back every time, while tale T also adds 1.
Then the probability of certain symptom is the disease symptoms weight R divided by tale T.For example, certain disease has 3 symptoms, then weight
Initial value is 1, T 3, and each disease symptoms probability is 33% (1/3)；For some symptom by after member's feedback data, value R becomes 2,
Then T becomes 4, and the probability of the disease symptoms becomes 50% (2/4), and the probability of other 2 symptoms all becomes 25% (1/4), with this
Analogize.
The autodiagnosis platform is associated with autodiagnosis database, be equipped with user's input module, diagnostic module, user feedback module, after
Number of units is according to training module.
User uses the process of computer-aided diagnosis system as shown in Figure 1:
(1) after user enters system；
(2) related common symptoms exhibited is selected according to own situation；
(3) diagnosis is executed；
(4) if any characteristic symptom, then related characteristic symptom is selected further according to own situation；
(5) diagnosis is executed；
(6) diagnostic result is exported, and provides user's related advisory and recommends department；
(7) user provides feedback according to diagnostic result；
(8) system according to feedback analysis and learns, so that diagnostic function is more perfect.
The above is only a specific embodiment of the present invention, is not intended to limit the scope of protection of the present invention, it is all
Within the spirit and principles in the present invention, any modification, equivalent substitution, improvement and etc. done should be included in protection of the invention
Within the scope of.
Claims (3)
1. a kind of disease computer-aided diagnosis system for completing data training based on field feedback characterized by comprising autodiagnosis data
Library and autodiagnosis platform；The autodiagnosis database includes disease table, records all disease related datas；Symptom type table, for remembering
Record symptom type；Symptom table, for recording various symptoms；Disease-state contingency table, for recording between each disease and symptom
Related information；
The autodiagnosis platform is associated with autodiagnosis database, is equipped with user's input module, diagnostic module, user feedback module, rear number of units
According to training module；
The disease-state contingency table, setting field are used to record the symptom probability between some disease and some symptom, symptom
Probability is according to user feedback situation dynamic change；Symptom probability in the disease data table equipped with field record disease amounts to
Number, the symptom probability tale of the disease are equal to the sum of the symptom probability of the corresponding disease of all symptoms of the disease；
The autodiagnosis platform is associated with autodiagnosis database, establishes disease autodiagnosis data model, including disease data, disease type number
According to, symptom data, disease-state associated data；User obtains autodiagnosis knot according to itself symptom, by disease autodiagnosis data model
Fruit and treatment, which are seen a doctor, to be suggested；User provides feedback according to autodiagnosis result or treatment medical treatment result；Disease autodiagnosis data model according to
Feedback is analyzed and is learnt, and data training is constantly carried out.
2. disease computer-aided diagnosis system according to claim 1, which is characterized in that user's input module includes that user is general
Logical symptom input and the input of user's special module.
3. disease computer-aided diagnosis system according to claim 1, which is characterized in that the back-end data training module is by backstage
Medical Technologist, which operates, to complete.
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| US20180046773A1 (en) * | 2016-08-11 | 2018-02-15 | Htc Corporation | Medical system and method for providing medical prediction |
| CN106777966B (en) * | 2016-12-13 | 2020-02-07 | 天津迈沃医药技术股份有限公司 | Data interactive training method and system based on medical information platform |
| CN106599574B (en) * | 2016-12-13 | 2019-04-30 | 天津迈沃医药技术股份有限公司 | Diagnosis and treatment data analysis method and system based on medical information platform |
| CN108231137A (en) * | 2016-12-15 | 2018-06-29 | 童综合医疗社团法人童综合医院 | Medical system with feedback learning function |
| US12254985B2 (en) | 2017-12-20 | 2025-03-18 | Medi Whale Inc. | Diagnosis assistance method and cardiovascular disease diagnosis assistance method |
| EP3730040A4 (en) | 2017-12-20 | 2021-10-06 | Medi Whale Inc. | METHOD AND DEVICE FOR ASSISTING THE DIAGNOSIS OF A CARDIOVASCULAR DISEASE |
| CN109087691A (en) * | 2018-08-02 | 2018-12-25 | 科大智能机器人技术有限公司 | A kind of OTC drugs recommender system and recommended method based on deep learning |
| CN109326352B (en) * | 2018-10-26 | 2022-04-15 | 腾讯科技（深圳）有限公司 | Disease prediction method, device, terminal and storage medium |
| CN109616167A (en) * | 2018-12-12 | 2019-04-12 | 天津迈沃医药技术股份有限公司 | Doctor based on disease circle confuses method and system |
| CN109743363A (en) * | 2018-12-18 | 2019-05-10 | 广州圆爱康生物科技有限公司 | A kind of medical information intelligently pushing method and device |
| CN110379505A (en) * | 2019-06-10 | 2019-10-25 | 天津开心生活科技有限公司 | A kind of recognition methods, device, readable medium and the electronic equipment of the common processing mode of disease |
| CN111951955A (en) * | 2020-08-13 | 2020-11-17 | 神州数码医疗科技股份有限公司 | A method and device for constructing a clinical decision support system based on rule reasoning |
| CN113160916A (en) * | 2021-05-14 | 2021-07-23 | 海南云信医疗科技有限公司 | Self-diagnosis system based on traditional Chinese medicine |
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| US9129053B2 (en) * | 2012-02-01 | 2015-09-08 | Siemens Aktiengesellschaft | Method and system for advanced measurements computation and therapy planning from medical data and images using a multi-physics fluid-solid heart model |
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| CN1246942A (en) * | 1996-07-12 | 2000-03-08 | 第一咨询公司 | Computerized medical diagnostic system utilizing list-based processing |
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