CN113284580A - Diet management system based on human body inflammation biological clock - Google Patents
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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
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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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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- 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
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Abstract
The invention discloses a diet management system based on a human body inflammation biological clock, which comprises a system platform, wearable equipment and smart home, wherein the system platform comprises a basic information module, a health information module, a disease information module, a chronic disease prevention and treatment module and a nutrition consultation module; the wearable device comprises a mobile phone and a sports bracelet; the smart home comprises an intelligent refrigerator and the like. According to the invention, scientific dietary compatibility is provided according to needs by combining individual health conditions of users through a series of dietary improvement methods through a developed dietary platform, so that the literacy of user independent dietary selection, independent health management and independent health service is improved.
Description
Technical Field
The invention relates to the field of diet management, in particular to a diet management system based on a human body inflammation biological clock.
Background
At present, the nutritional diet management system is widely popularized in the world, comprises healthy residents and diet management of people in special states, and mainly comprises basic information acquisition, body health state detection and diet catering pushing, wherein the information acquisition mainly comprises basic information of a user, the body health state detection is the independent uploading of the health information of the user, and the management system can push the optimal diet catering according to the diet nutritional state of the user. The field already has a systematized service model.
The nutrition-related diseases in China are converted from deficiency type to excess type, the number of chronic patients is rapidly increased, and particularly, the chronic non-infectious diseases such as diabetes, obesity, cardiovascular diseases, cancer and the like become the most harmful diseases in the death spectrum of the diseases of residents in China; while the "systemic, hidden inflammatory state" in vivo is an independent risk factor that leads to impairment of organ and tissue function, inducing development of chronic diseases. Up to now, no meal catering management system for chronic patients has been developed in the technical field.
Also, recent studies have shown that in vivo inflammation has rhythmic changes, which may rise gradually in the afternoon to the evening to present peaks, which may induce or aggravate the occurrence and adverse outcome of chronic diseases. In the previous research, the dietary intake time is closely related to the inflammation of the body and the death risk of people, and the influence of the same food on the inflammation of the body at different intake times is different. Traditional nutrition compatibility software is mostly formulated according to the total daily intake, the influence of the intake time on the absorption and metabolism of nutrients is ignored, however, the dietary activity of human is a complex behavior, and besides the intake of the nutrients and the composition of the nutrients, the current research finds that the food intake time sequence can obviously change the metabolism of the body on the intake of the nutrients and influence the occurrence of chronic diseases.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a diet management system based on a human body inflammation biological clock.
In order to solve the technical problems, the invention provides the following technical scheme:
the invention relates to a meal management system based on a human body inflammation biological clock, which comprises a system platform, wearable equipment and a smart home, and is characterized in that the wearable equipment comprises a mobile phone and a sports bracelet; the intelligent home comprises an intelligent refrigerator and the like, and the system platform comprises a basic information module, a health information module, a disease information module, a chronic disease prevention and treatment module and a nutrition consultation module;
the basic information module comprises input forms of name, gender, birth date, height, weight, special stage and disease state;
the health information module comprises a data collection mode and an information transmission mode, the data collection mode comprises defecation conditions, sleep quality and biochemical detection reports of a user, and the information transmission mode is connected with the wearable equipment through the wireless connection module;
the disease information module comprises a disease recipe database and a disease data retrieval module and is used for pushing recipes according to the disease degree of a user;
the chronic disease prevention and treatment module comprises a medicine database and a medicine data retrieval module and is used for recommending health care products and special medical foods for chronic disease users;
the nutrition consultation module comprises a keyword feedback module used for forming keyword feedback for the consultation of the user.
As a preferred technical solution of the present invention, the system platform specifically includes the following operation steps:
A. arranging data, establishing a big data crowd health information form according to a basic information module, establishing information bars in a blank form according to name, gender, birth date, height and weight, inputting data in the established information bars based on a corresponding health information module to form big data crowd health information, and establishing a disease identification database;
B. establishing an individual inflammation scoring form, establishing individual inflammation scoring according to an inflammation scoring method, and screening out dietary structures, foods and nutrients closely related to the inflammation scoring through linear regression analysis and ordered logistic regression analysis;
C. gross analysis of big data, using cox regression in the general population, diabetic patients and cardiovascular disease patients, respectively, to analyze the ameliorating effects of dietary structure, food and nutrient intake timing closely related to inflammation scores on diabetic death, cardiovascular disease death and cancer death in chronic disease patients;
D. establishing a diet table, and integrating and summarizing the dietary structures, foods and nutrients which can improve death and are related to the body inflammation within one day according to the analysis in the step C to form a diet of three meals a day;
E. establishing a push recipe for improving the human body inflammatory biological clock, and setting the three-meal-per-day dietary compatibility according with the inflammatory rhythm of the biological clock according to the recipe table in the step D and the eating time period to improve the eating mode;
F. and a background authority system is arranged, and manual management authority is utilized to connect online personnel to modify or supplement the disease identification database in an online feedback and online data collection mode.
As a preferred embodiment of the present invention, the disease identification database contains a severity determination of a disease and a stage determination of a disease.
As a preferred technical solution of the present invention, the disease recipe database contains information entries of different disease severity, the drug database contains drug details, drug efficacy and drug ingredients, and a link layer is formed according to disease affix and drug efficacy treatment affix in the information entries.
As a preferred technical solution of the present invention, in the step E, the setting of the biological clock is set after being connected with the wearable device and the smart home through the wireless connection module, and is prompted or notified through an alarm clock.
As a preferred technical solution of the present invention, the step D further includes a keyword feedback module, which extracts disease affix from the disease recognition database, the drug database, and the disease food spectrum database according to the LDA classification algorithm, converts the disease affix into corresponding word vectors, calculates similarity according to the affix input by the user, and feeds back corresponding information from the corresponding disease recognition database, the drug database, and the disease food spectrum database.
Compared with the prior art, the invention has the following beneficial effects:
1: the invention provides scientific diet compatibility according to needs by combining individual health conditions of users through a series of diet improvement methods by a developed diet platform, improves independent diet selection, independent health management and independent health service literacy of the users, and fundamentally solves' what and when? The problem of effectively reducing and preventing the occurrence risk of diseases related to chronic inflammation, improving the life quality of patients with chronic inflammation and prolonging the life span.
2: the invention meets the health requirements of patients with chronic diseases, provides product database query, nutrition consultation technical service and manual error correction besides optimizing the dietary structure, solves the phenomenon of complex curative effect of medicines, and can reduce the workload of online manual response by the set keyword response.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic of a data analysis flow of the present invention;
FIG. 2 is a schematic diagram of an information pushing process according to the present invention;
fig. 3 is a schematic block diagram of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1
As shown in fig. 1-3, the meal management system based on human body inflammation biological clock of the present invention comprises a system platform, a wearable device and a smart home, wherein the wearable device comprises a mobile phone and a sports bracelet; the intelligent home comprises an intelligent refrigerator and the like, and the system platform comprises a basic information module, a health information module, a disease information module, a chronic disease prevention and treatment module and a nutrition consultation module;
the basic information module comprises input forms of name, gender, birth date, height, weight, special stage and disease state;
the health information module comprises a data collection mode and an information transmission mode, wherein the data collection mode comprises defecation conditions, sleep quality and biochemical detection reports of a user, and the information transmission mode is connected with the wearable equipment through the wireless connection module;
the disease information module comprises a disease recipe database and a disease data retrieval module and is used for pushing recipes according to the disease degree of a user;
the chronic disease prevention and treatment module comprises a medicine database and a medicine data retrieval module and is used for recommending health care products and special medical foods for chronic disease users;
the nutrition consultation module comprises a keyword feedback module used for forming keyword feedback for the consultation of the user.
Further, the system platform specifically comprises the following operation steps:
A. arranging data, establishing a big data crowd health information form according to a basic information module, establishing information bars in a blank form according to name, gender, birth date, height and weight, inputting data in the established information bars based on a corresponding health information module to form big data crowd health information, and establishing a disease identification database;
B. establishing an individual inflammation scoring form, establishing individual inflammation scoring according to an inflammation scoring method, and screening out dietary structures, foods and nutrients closely related to the inflammation scoring through linear regression analysis and ordered logistic regression analysis;
C. gross analysis of big data, using cox regression in the general population, diabetic patients and cardiovascular disease patients, respectively, to analyze the ameliorating effects of dietary structure, food and nutrient intake timing closely related to inflammation scores on diabetic death, cardiovascular disease death and cancer death in chronic disease patients;
D. establishing a diet table, and integrating and summarizing the dietary structures, foods and nutrients which can improve death and are related to the body inflammation within one day according to the analysis in the step C to form a diet of three meals a day;
E. establishing a push recipe for improving the human body inflammatory biological clock, and setting the three-meal-per-day dietary compatibility according with the inflammatory rhythm of the biological clock according to the recipe table in the step D and the eating time period to improve the eating mode;
F. and a background authority system is arranged, and manual management authority is utilized to connect online personnel to modify or supplement the disease identification database in an online feedback and online data collection mode.
The disorder identification database contains a severity determination of the disorder and a stage determination of the disorder.
The disease recipe database contains information items of different disease severity degrees, the medicine database contains medicine detailed information, medicine curative effect and medicine components, and a link layer is formed according to disease treatment affixes and medicine curative effect treatment affixes in the information items.
And step E, setting the biological clock after the biological clock is connected with the wearable equipment and the smart home through the wireless connection module, and prompting or notifying through an alarm clock.
Step D also comprises a keyword feedback module which extracts disease affix from the disease identification database, the medicine database and the disease food spectrum database according to an LDA classification algorithm, converts the disease affix into corresponding word vectors, calculates similarity according to the affix input by a user and feeds back corresponding information in the corresponding disease identification database, the medicine database and the disease food spectrum database.
Specifically, the meal management system is mainly based on wearable equipment and a system platform, namely the meal management system is mainly connected to a cloud server through the wearable equipment or mobile equipment, and a data statistics effect is achieved according to data exchange of the system platform.
As shown in fig. 3, modules one to five of the system respectively correspond to a basic information module, a health information module, a disease information module, a chronic disease prevention and treatment module and a nutrition consultation module in sequence, a user can establish a new blank form and automatically fill in the blank form after receiving corresponding data according to basic information, health data and chronic disease data uploaded by wearable equipment or mobile equipment, and similar cases are searched in a total database to form the effect of quickly outputting results;
if no corresponding case exists in the database, establishing a recipe list belonging to an individual according to the steps A to D according to the flow shown in the figure 1, and feeding all data back to the total database for storage again to form a phenomenon of fast query of big data;
after the recipe table is formed, pushing a corresponding one-day recipe according to the flow shown in fig. 2, after the user determines the recipe, setting systems such as an alarm clock or a notification according to wearable equipment, mobile equipment and smart home, and setting a specific notification according to the step E to push the recipe of the food therapy and a corresponding medicine;
meanwhile, the invention is also provided with a corresponding keyword feedback module, a user can respectively inquire corresponding food therapy data in the disease identification database, the medicine database and the disease food spectrum database according to the feedback module, and the set manual feedback can also inquire and correct according to data errors or information errors fed back by the user, a communication platform can be formed if necessary, and platform improvement can be more conveniently carried out according to the actual curative effect of the medicine.
According to the invention, through a series of service systems, the individual health conditions of the user are combined, scientific dietary compatibility is provided according to the needs, and the independent dietary selection, the independent health management and the independent health service literacy of the user are improved. In addition, the platform fundamentally solves the problem of 'what and when is eaten' of residents in China, particularly chronic patients, according to the concept of the dietary inflammation index and by taking the organism inflammatory biorhythm as the adjustment entry point? The problem of "is to output individualized diet compatibility mode of three meals a day through butt joint mobile device, wearable equipment, wisdom house etc. increases the application of platform, improves the nutrition health of the resident of our country. It can effectively reduce and prevent the occurrence risk of diseases related to chronic inflammation, improve the life quality of patients with chronic inflammation and prolong the life. The diet compatibility platform of the human body inflammation biological clock mainly aims at inflammation-related chronic diseases including obesity, diabetes, cardiovascular diseases, cancer and the like, can be used by residents all over the country, and reduces the workload of general practitioners in local clinics.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A meal management system based on a human body inflammation biological clock comprises a system platform, wearable equipment and a smart home, and is characterized in that the wearable equipment comprises a mobile phone and a sports bracelet; the intelligent home comprises an intelligent refrigerator and the like, and the system platform comprises a basic information module, a health information module, a disease information module, a chronic disease prevention and treatment module and a nutrition consultation module;
the basic information module comprises input forms of name, gender, birth date, height, weight, special stage and disease state;
the health information module comprises a data collection mode and an information transmission mode, the data collection mode comprises defecation conditions, sleep quality and biochemical detection reports of a user, and the information transmission mode is connected with the wearable equipment through the wireless connection module;
the disease information module comprises a disease recipe database and a disease data retrieval module and is used for pushing recipes according to the disease degree of a user;
the chronic disease prevention and treatment module comprises a medicine database and a medicine data retrieval module and is used for recommending health care products and special medical foods for chronic disease users;
the nutrition consultation module comprises a keyword feedback module used for forming keyword feedback for the consultation of the user.
2. The system for meal management based on human inflammatory biological clock according to claim 1, wherein the system platform comprises the following operation steps:
A. arranging data, establishing a big data crowd health information form according to a basic information module, establishing information bars in a blank form according to name, gender, birth date, height and weight, inputting data in the established information bars based on a corresponding health information module to form big data crowd health information, and establishing a disease identification database;
B. establishing an individual inflammation scoring form, establishing individual inflammation scoring according to an inflammation scoring method, and screening out dietary structures, foods and nutrients closely related to the inflammation scoring through linear regression analysis and ordered logistic regression analysis;
C. gross analysis of big data, using cox regression in the general population, diabetic patients and cardiovascular disease patients, respectively, to analyze the ameliorating effects of dietary structure, food and nutrient intake timing closely related to inflammation scores on diabetic death, cardiovascular disease death and cancer death in chronic disease patients;
D. establishing a diet table, and integrating and summarizing the dietary structures, foods and nutrients which can improve death and are related to the body inflammation within one day according to the analysis in the step C to form a diet of three meals a day;
E. establishing a push recipe for improving the human body inflammatory biological clock, and setting the three-meal-per-day dietary compatibility according with the inflammatory rhythm of the biological clock according to the recipe table in the step D and the eating time period to improve the eating mode;
F. and a background authority system is arranged, and manual management authority is utilized to connect online personnel to modify or supplement the disease identification database in an online feedback and online data collection mode.
3. The system of claim 2, wherein the disease identification database comprises a severity determination and a stage determination of the disease.
4. The system for meal management based on human inflammation biological clock as claimed in claim 2, wherein the disease recipe database comprises information entries of different disease severity, the drug database comprises details of drugs, drug efficacy and drug ingredients, and a link layer is formed according to disease affix and drug efficacy treatment affix in the information entries.
5. The system for meal management based on human body inflammation biological clock according to claim 2, wherein in the step E, the setting of the biological clock is set after being connected with the wearable device and the smart home mainly through the wireless connection module, and is prompted or notified through an alarm clock.
6. The system of claim 1, wherein the step D further comprises a keyword feedback module for extracting disorder prefixes from the disorder recognition database, the drug database, and the disorder recipe database according to the LDA classification algorithm, converting the disorder prefixes into corresponding word vectors, calculating similarities according to the prefixes inputted by the user, and feeding back corresponding information in the corresponding disorder recognition database, the drug database, and the disorder recipe database.
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| 舒艳铃;吴明洋;王佳婷;吴晓聪;李华文;: "美国中老年人膳食炎症指数与睡眠不足的相关性研究", 华中科技大学学报(医学版), no. 03, pages 338 - 342 * |
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