CN113539424A - Intelligent accurate analysis and comparison system for dieticians - Google Patents
Intelligent accurate analysis and comparison system for dieticians Download PDFInfo
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- 238000004458 analytical method Methods 0.000 title claims abstract description 53
- 235000016709 nutrition Nutrition 0.000 claims abstract description 124
- 230000035764 nutrition Effects 0.000 claims abstract description 117
- 235000005911 diet Nutrition 0.000 claims abstract description 80
- 230000037213 diet Effects 0.000 claims abstract description 77
- 235000015097 nutrients Nutrition 0.000 claims abstract description 56
- 238000012216 screening Methods 0.000 claims abstract description 29
- 235000006286 nutrient intake Nutrition 0.000 claims abstract description 23
- 238000012937 correction Methods 0.000 claims abstract description 22
- 238000000034 method Methods 0.000 claims abstract description 13
- 230000003203 everyday effect Effects 0.000 claims abstract description 10
- 230000004044 response Effects 0.000 claims abstract description 10
- 238000011156 evaluation Methods 0.000 claims description 17
- 238000007726 management method Methods 0.000 claims description 15
- 201000010099 disease Diseases 0.000 claims description 12
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 12
- 208000024891 symptom Diseases 0.000 claims description 11
- 238000012795 verification Methods 0.000 claims description 10
- 230000002354 daily effect Effects 0.000 claims description 8
- 239000000463 material Substances 0.000 claims description 6
- 230000009123 feedback regulation Effects 0.000 claims description 5
- 235000020979 dietary recommendations Nutrition 0.000 claims description 4
- 230000000694 effects Effects 0.000 claims description 4
- 230000003993 interaction Effects 0.000 claims description 4
- 235000021049 nutrient content Nutrition 0.000 claims description 4
- 230000000378 dietary effect Effects 0.000 claims description 3
- 230000007613 environmental effect Effects 0.000 claims description 3
- 239000004615 ingredient Substances 0.000 claims description 3
- 238000003745 diagnosis Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 235000018823 dietary intake Nutrition 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000002503 metabolic effect Effects 0.000 description 1
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- 230000004048 modification Effects 0.000 description 1
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- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
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- G—PHYSICS
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
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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
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
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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
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
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Abstract
The application discloses an intelligent accurate analysis and comparison system for a dietician, which comprises a client, a registration and login module, a nutrition database, a nutrition algorithm analysis module and a management module which are connected with one another; the application also discloses a use method of the intelligent nutrition engineer accurate analysis comparison system, which comprises the following steps: acquiring basic information of a user, and matching the basic information of the user with a corresponding nutrition database, wherein the corresponding nutrition database comprises the average intake and the maximum intake of a plurality of nutrients required by the user; acquiring response information of a user to the nutrition risk screening questionnaire, and acquiring correction information of multiple nutrients for improving the physical state of the user according to the response information; according to the correction information of the user on various nutrients, the nutrient intake required by the user every day is adjusted to obtain the optimal intake; and feeding back information to the user. The problem of individualized accurate nutrition analysis and diet guide realize on the system is solved.
Description
Technical Field
The invention relates to an intelligent accurate analysis and comparison system for a dietician and a using method thereof.
Background
For a long time, the personalized nutrition problem is generally provided by doctors in hospital nutrition departments through face diagnosis, the nutrition intake and analysis of individuals are related to various factors, accurate data and information are difficult to obtain only by subjective observation, and the nutrition guidance modes are more general at home and abroad, and the personalized guidance and management of nutrition are lacked. How to use personalized nutrition guidance and management to enable users to master reasonable dietary structure has important clinical guidance significance. In the existing related data computing system, analysis can be performed only through basic characteristics of human bodies such as height, weight, age and the like, and personalized accurate nutrition analysis and diet guidance cannot be solved.
Disclosure of Invention
In order to solve the problems in the prior art, the invention discloses an intelligent accurate analysis and comparison system for a dietician and a using method thereof, wherein the system comprises a client, a registration and login module, a nutrition database, a nutrition algorithm analysis module and a management module which are connected with each other;
the client is used for providing an interface for interaction between the client and background information, accessing the registration login module and the nutrition database by the client, acquiring a nutrition risk screening questionnaire and supporting answering of the nutrition risk screening questionnaire by the client, and feeding back information to the user;
the registration login module is used for acquiring the basic information of the user and matching the basic information of the user with a corresponding nutrition database;
a nutrition database for supporting calls including average intake and maximum intake data for a plurality of nutrients;
the nutrition algorithm analysis module is used for supporting the operation of a nutrition analysis algorithm: configuring each question in the nutrition risk screening questionnaire, and correcting various nutrients of a corresponding user according to the number of relevant questions selected by the user, whether the element symptoms have mutual correlation, clinical diseases and nutrition data probability;
the management module is used for acquiring answering information of the user to the nutrition risk screening questionnaire, and calling the nutrition algorithm analysis module to obtain correction information of various nutrients for improving the physical state of the user according to the answering information; and the system is also used for adjusting the daily required nutrient intake of the user according to the correction information of the user on various nutrients so as to obtain the optimal intake.
The system further comprises a diet planning module and an evaluation analysis module which are connected with the management module, wherein the diet planning module is used for designing one or more sets of diet plans according to the nutrient intake amount which is required to be taken by a user regularly or irregularly and also used for feedback regulation and verification of the diet plans; and the evaluation analysis module is used for comparing the intake amount of the correspondingly ingested nutrients with the amount of the nutritional ingredients in the corresponding diet plan and evaluating the rationality of the diet plan by combining a diet pagoda and diet balance.
Further, the designing one or more sets of diet plans according to the nutrient intake amount which should be taken by the user regularly or irregularly specifically includes: the user puts the type and the amount of food materials planned every day into a daily plan, the diet planning module calls the evaluation analysis module to compare the nutrient component amount in the plan according to the nutrient to be taken, gives a reasonable diet suggestion according to diet pagoda and diet balance, scores the planning result and designs one or more sets of diet plans according to the nutrient intake amount which the user should take regularly or irregularly.
Further, the feedback regulation and verification of diet planning specifically includes: on the basis of 'comparing the nutrient intake amount correspondingly ingested by calling an evaluation analysis module with the nutrient content amount in a corresponding diet plan and evaluating the rationality of the diet plan by combining a diet pagoda and a diet balance', a corresponding user adopts the diet plan for a period of time, acquires the basic information of the user and the answering information of a nutrition risk screening questionnaire again, updates to obtain the nutrient intake amount which the user should ingest periodically or aperiodically, and finely adjusts the diet plan according to the updated nutrient intake amount which should ingest so as to realize the feedback adjustment and verification of the diet plan.
The use method of the system comprises the following steps:
acquiring basic information of a user, and matching the basic information of the user with a corresponding nutrition database, wherein the corresponding nutrition database comprises the average intake and the maximum intake of a plurality of nutrients required by the user; acquiring response information of a user to the nutrition risk screening questionnaire, and acquiring correction information of multiple nutrients for improving the physical state of the user according to the response information; according to the correction information of the user on various nutrients, the nutrient intake required by the user every day is adjusted to obtain the optimal intake; and feeding back information to the user.
The basic information of the user comprises height, weight, age and whether the pregnant woman is pregnant or not; the nutrition database is specifically a nutrition database of normal people, and the database contains the average intake and the maximum intake information of the normal people; the nutrition risk screening questionnaire comprises a plurality of questionnaire questions, wherein the questionnaire questions comprise symptom characteristics, diet hobbies and environmental habits, and the user selects 'yes' or 'no' according to actual conditions.
Further, the obtaining of the correction information on the plurality of nutrients for improving the physical state of the user is realized through a nutrition analysis algorithm: configuring each question in a nutrition risk screening questionnaire, wherein each question is associated with a plurality of nutrients, endowing a certain increment or percentage to related elements of each question, and correcting a plurality of nutrients of a corresponding user according to the number of the related questions selected by the user, whether the symptoms of the elements have mutual correlation effects, clinical diseases and nutrition data probability.
Further, the feedback of the information to the user comprises outputting a personalized nutrition data report, wherein the personalized nutrition data report is presented to a nutrient table which is required to be taken by the user every day and contains accurate values of more than 20 nutrients; and to propose dietary recommendations that should be noted.
Has the advantages that:
the method and the system solve the problem that personalized accurate nutrition analysis and diet guidance are realized on a data computing system, provide scientific diet from the aspect of nutrition, reduce the times of a user going to a hospital and reduce the workload of doctors. Enhance the self-care consciousness of the user and comprehensively improve the self-regulation quality of the patient.
Description of the drawings:
FIG. 1 is a block diagram of the components of one embodiment of the system of the present application;
FIG. 2 is a block diagram of another embodiment of the system of the present application.
Detailed Description
In specific implementation, one embodiment of the intelligent nutritionist accurate analysis and comparison system of the present application is shown in fig. 1, and includes a client, a registration and login module, a nutrition database, a nutrition algorithm analysis module, and a management module, which are connected to each other; the client is used for providing an interface for interaction between the client and background information, accessing the registration login module and the nutrition database by the client, acquiring a nutrition risk screening questionnaire and supporting answering of the nutrition risk screening questionnaire by the client, and feeding back information to the user;
the registration login module is used for acquiring the basic information of the user and matching the basic information of the user with a corresponding nutrition database;
a nutrition database for supporting calls including average intake and maximum intake data for a plurality of nutrients;
the nutrition algorithm analysis module is used for supporting the operation of a nutrition analysis algorithm: configuring each question in the nutrition risk screening questionnaire, and correcting various nutrients of a corresponding user according to the number of relevant questions selected by the user, whether the element symptoms have mutual correlation, clinical diseases and nutrition data probability;
the management module is used for acquiring answering information of the user to the nutrition risk screening questionnaire, and calling the nutrition algorithm analysis module to obtain correction information of various nutrients for improving the physical state of the user according to the answering information; and the system is also used for adjusting the daily required nutrient intake of the user according to the correction information of the user on various nutrients so as to obtain the optimal intake.
Another embodiment of the system for accurately analyzing and comparing by an intelligent nutritionist is shown in fig. 2, and further comprises a diet planning module and an evaluation analysis module which are connected with the management module, wherein the diet planning module is used for designing one or more sets of diet plans according to the intake of nutrients which a user should take regularly or irregularly, and is also used for feedback regulation and verification of the diet plans; and the evaluation analysis module is used for comparing the intake amount of the correspondingly ingested nutrients with the amount of the nutritional ingredients in the corresponding diet plan and evaluating the rationality of the diet plan by combining a diet pagoda and diet balance.
Specifically, the designing one or more sets of diet plans according to the nutrient intake amount which should be taken by the user regularly or irregularly specifically means: the user puts the type and the amount of food materials planned every day into a daily plan, the diet planning module calls the evaluation analysis module to compare the nutrient component amount in the plan according to the nutrient to be taken, gives a reasonable diet suggestion according to diet pagoda and diet balance, scores the planning result and designs one or more sets of diet plans according to the nutrient intake amount which the user should take regularly or irregularly.
Specifically, the feedback regulation and verification of diet planning specifically includes: on the basis of 'comparing the nutrient intake amount correspondingly ingested by calling an evaluation analysis module with the nutrient content amount in a corresponding diet plan and evaluating the rationality of the diet plan by combining a diet pagoda and a diet balance', a corresponding user adopts the diet plan for a period of time, acquires the basic information of the user and the answering information of a nutrition risk screening questionnaire again, updates to obtain the nutrient intake amount which the user should ingest periodically or aperiodically, and finely adjusts the diet plan according to the updated nutrient intake amount which should ingest so as to realize the feedback adjustment and verification of the diet plan.
In a specific implementation, the method of using the above system in one embodiment comprises the steps of:
acquiring basic information of a user, and matching the basic information of the user with a corresponding nutrition database, wherein the corresponding nutrition database comprises the average intake and the maximum intake of a plurality of nutrients required by the user;
acquiring response information of a user to the nutrition risk screening questionnaire, and acquiring correction information of multiple nutrients for improving the physical state of the user according to the response information; according to the correction information of the user on various nutrients, the nutrient intake required by the user every day is adjusted to obtain the optimal intake;
and feeding back information to the user.
Specifically, the basic information of the user comprises height, weight, age and whether the user is a pregnant woman or not; the nutrition database is specifically a nutrition database of normal people, and the database contains the average intake and the maximum intake information of the normal people; the nutrition risk screening questionnaire comprises a plurality of questionnaire questions, wherein the questionnaire questions comprise symptom characteristics, diet hobbies and environmental habits, and the user selects 'yes' or 'no' according to actual conditions.
Specifically, the correction information of the plurality of nutrients for improving the physical state of the user is obtained through the implementation of a nutrition analysis algorithm: configuring each question in a nutrition risk screening questionnaire, wherein each question is associated with a plurality of nutrients, endowing a certain increment or percentage to related elements of each question, and correcting a plurality of nutrients of a corresponding user according to the number of the related questions selected by the user, whether the symptoms of the elements have mutual correlation effects, clinical diseases and nutrition data probability.
Specifically, the feedback of the information to the user comprises outputting, namely, a personalized nutrition data report, wherein the personalized nutrition data report is presented to a nutrient table which is required to be taken by the user every day and contains accurate values of more than 20 nutrients; and to propose dietary recommendations that should be noted.
Namely, in the implementation, the implementation steps are as follows: the method comprises the steps that a client accesses a registration login module and a nutrition database on an interface provided by the client for information interaction between the client and a background to complete registration login, and the client obtains a nutrition risk screening questionnaire and answers the nutrition risk screening questionnaire; the registration login module acquires the basic information of the user and matches the basic information of the user with a corresponding nutrition database; the management module acquires response information of a user to the nutrition risk screening questionnaire, and calls the nutrition algorithm analysis module to obtain correction information of multiple nutrients for improving the physical state of the user according to the response information; the nutrition algorithm analysis module supports nutrition analysis algorithm operation: configuring each question in the nutrition risk screening questionnaire, and correcting various nutrients of a corresponding user according to the number of relevant questions selected by the user, whether the element symptoms have mutual correlation, clinical diseases and nutrition data probability; and the management module adjusts the nutrient intake required by the user every day according to the correction information of the user on various nutrients so as to obtain the optimal intake.
In specific implementation, the nutrition analysis algorithm is a nutrition analysis algorithm based on a full-dimensional questionnaire, the algorithm designs questionnaires through problems such as pathological features and living habits which may occur due to lack of nutrients, and the questionnaire is used for accurately deducing a nutrition value, and the core is a nutrition variable algorithm. The method provides a nutrition N value evaluation concept, and evaluates and scores whether the daily dietary intake nutrition is reasonable, so that whether the eating is reasonable or not can be more intuitively understood. Through long-time experimental demonstration and effect verification of the nutrition department, a unique nutrition variable algorithm is created: the whole algorithm comprises a plurality of parts, namely a full-dimensional nutrition questionnaire, a nutrition analysis algorithm and a correction algorithm, and is combined with big data adjustment and correction, so that the accuracy is greatly improved and even higher than the accuracy of general nutrition specialist diagnosis, and the method is worthy of popularization and use by hospitals, old age management, infant management, catering institutions and mass users. Implementation of the nutritional analysis algorithm: each question in the nutrition questionnaire is related to 1 or more nutrients, a certain increment or percentage is given to related elements of each 1 question, and algorithm correction is performed according to the number of related questions selected by a user, whether the symptoms of each element have mutual correlation, and the probability of clinical diseases and nutritional data. The evaluation analysis module adopts an evaluation algorithm: inputting the type and weight of the food materials planned in advance, counting the nutrient content, simultaneously comparing individual nutrition reports, and scoring by an evaluation algorithm according to different dimensions such as whether the types of the food materials are balanced, the colors of the food materials, the heat value, diseases and the like by the system; designing one or more sets of dietary plans may be accomplished through a dietary recommendation algorithm: the system compares individual nutrition reports according to scoring conditions of the diet planning of the user, and carries out detailed systematic diet planning guidance.
It can be understood that the problem that personalized accurate nutrition analysis and diet guidance are realized on the system is solved, scientific diet is provided from the nutrition perspective, the times of a user going to a hospital are reduced, and the workload of a doctor is reduced. Enhance the self-care consciousness of the user and comprehensively improve the self-regulation quality of the patient.
In addition, in specific implementation, according to different diseases or different evaluation modes, corresponding parameter indexes can be obtained according to related parameters and calculation modes which are accurately corresponding to the diseases, the parameter indexes are matched with a system database, so that the most appropriate body indexes and the most accurate matching results are screened out and fed back to a client for analysis and comparison, the monitoring and adjusting capacity of body composition and metabolic indexes on the rationality of a nutrition guidance scheme is improved, an accurate personalized diet guidance scheme and a personalized exercise guidance scheme are provided for an individual, the occurrence probability of sub-health and diseases is effectively reduced, and the quality of population health is improved.
It should be noted that the above-mentioned embodiments are only examples of the present invention, and it should be understood that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principle and spirit of the present invention, so as to obtain other embodiments, which should also be within the scope of the present invention as defined in the appended claims.
Claims (8)
1. An intelligent accurate analysis and comparison system for dieticians is characterized by comprising a client, a registration and login module, a nutrition database, a nutrition algorithm analysis module and a management module which are connected with one another;
the client is used for providing an interface for interaction between the client and background information, accessing the registration login module and the nutrition database by the client, acquiring a nutrition risk screening questionnaire and supporting answering of the nutrition risk screening questionnaire by the client, and feeding back information to the user;
the registration login module is used for acquiring the basic information of the user and matching the basic information of the user with a corresponding nutrition database;
a nutrition database for supporting calls including average intake and maximum intake data for a plurality of nutrients;
the nutrition algorithm analysis module is used for supporting the operation of a nutrition analysis algorithm: configuring each question in the nutrition risk screening questionnaire, and correcting various nutrients of a corresponding user according to the number of relevant questions selected by the user, whether the element symptoms have mutual correlation, clinical diseases and nutrition data probability;
the management module is used for acquiring answering information of the user to the nutrition risk screening questionnaire, and calling the nutrition algorithm analysis module to obtain correction information of various nutrients for improving the physical state of the user according to the answering information; and the system is also used for adjusting the daily required nutrient intake of the user according to the correction information of the user on various nutrients so as to obtain the optimal intake.
2. The system of claim 1, further comprising a diet planning module and an evaluation and analysis module connected to the management module, wherein the diet planning module is used for designing one or more sets of diet plans according to the intake of nutrients that the user should intake periodically or aperiodically, and for feedback regulation and verification of the diet plans; and the evaluation analysis module is used for comparing the intake amount of the correspondingly ingested nutrients with the amount of the nutritional ingredients in the corresponding diet plan and evaluating the rationality of the diet plan by combining a diet pagoda and diet balance.
3. The system of claim 1, wherein the designing of one or more sets of dietary plans based on the amount of nutrients that a user should ingest periodically or aperiodically specifically comprises: the user puts the type and the amount of food materials planned every day into a daily plan, the diet planning module calls the evaluation analysis module to compare the nutrient component amount in the plan according to the nutrient to be taken, gives a reasonable diet suggestion according to diet pagoda and diet balance, scores the planning result and designs one or more sets of diet plans according to the nutrient intake amount which the user should take regularly or irregularly.
4. The system according to claim 1, wherein the feedback adjustment and verification of diet planning specifically comprises: on the basis of 'comparing the nutrient intake amount correspondingly ingested by calling an evaluation analysis module with the nutrient content amount in a corresponding diet plan and evaluating the rationality of the diet plan by combining a diet pagoda and a diet balance', a corresponding user adopts the diet plan for a period of time, acquires the basic information of the user and the answering information of a nutrition risk screening questionnaire again, updates to obtain the nutrient intake amount which the user should ingest periodically or aperiodically, and finely adjusts the diet plan according to the updated nutrient intake amount which should ingest so as to realize the feedback adjustment and verification of the diet plan.
5. The method for using the intelligent nutrition engineer accurate analysis and comparison system as claimed in claim 1, which comprises the steps of:
acquiring basic information of a user, and matching the basic information of the user with a corresponding nutrition database, wherein the corresponding nutrition database comprises the average intake and the maximum intake of a plurality of nutrients required by the user; acquiring response information of a user to the nutrition risk screening questionnaire, and acquiring correction information of multiple nutrients for improving the physical state of the user according to the response information; according to the correction information of the user on various nutrients, the nutrient intake required by the user every day is adjusted to obtain the optimal intake; and feeding back information to the user.
6. The use method of the system for intelligent nutritionist's accurate analysis and comparison according to claim 5, wherein the basic information of the user includes height, weight, age, whether the user is a pregnant woman; the nutrition database is specifically a nutrition database of normal people, and the database contains the average intake and the maximum intake information of the normal people; the nutrition risk screening questionnaire comprises a plurality of questionnaire questions, wherein the questionnaire questions comprise symptom characteristics, diet hobbies and environmental habits, and the user selects 'yes' or 'no' according to actual conditions.
7. The method of claim 5, wherein the correction information of multiple nutrients for improving the physical condition of the user is obtained by implementing a nutrition analysis algorithm: configuring each question in a nutrition risk screening questionnaire, wherein each question is associated with a plurality of nutrients, endowing a certain increment or percentage to related elements of each question, and correcting a plurality of nutrients of a corresponding user according to the number of the related questions selected by the user, whether the symptoms of the elements have mutual correlation effects, clinical diseases and nutrition data probability.
8. The method of claim 5, wherein the feedback of information to the user includes outputting a personalized nutritional data report, wherein the personalized nutritional data report is presented to a daily nutrient table of the user, and contains more than 20 nutrient values; and to propose dietary recommendations that should be noted.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116541609A (en) * | 2023-07-06 | 2023-08-04 | 北京四海汇智科技有限公司 | Intelligent nutrition meal distribution system for postpartum recovery and diet management method |
| CN119207721A (en) * | 2024-09-25 | 2024-12-27 | 中山大学肿瘤防治中心（中山大学附属肿瘤医院、中山大学肿瘤研究所） | A formula food operation and management device based on human-computer interaction technology |
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| CN110265114A (en) * | 2019-06-21 | 2019-09-20 | 四川医枢科技股份有限公司 | Nutrition intelligent management system |
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- 2020-04-20 CN CN202010309381.7A patent/CN113539424A/en active Pending
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| CN108461124A (en) * | 2018-03-27 | 2018-08-28 | 周梦杰 | Nutrition Management method based on personalized precision and diet guide system |
| CN109243577A (en) * | 2018-08-23 | 2019-01-18 | 周梦杰 | A kind of food nutrition takes in appraisal procedure in real time |
| CN110265114A (en) * | 2019-06-21 | 2019-09-20 | 四川医枢科技股份有限公司 | Nutrition intelligent management system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116541609A (en) * | 2023-07-06 | 2023-08-04 | 北京四海汇智科技有限公司 | Intelligent nutrition meal distribution system for postpartum recovery and diet management method |
| CN119207721A (en) * | 2024-09-25 | 2024-12-27 | 中山大学肿瘤防治中心（中山大学附属肿瘤医院、中山大学肿瘤研究所） | A formula food operation and management device based on human-computer interaction technology |
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