CN109545328A - A kind of individual inferior health interference method and system based on big data and artificial intelligence - Google Patents
A kind of individual inferior health interference method and system based on big data and artificial intelligence Download PDFInfo
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- CN109545328A CN109545328A CN201811437843.2A CN201811437843A CN109545328A CN 109545328 A CN109545328 A CN 109545328A CN 201811437843 A CN201811437843 A CN 201811437843A CN 109545328 A CN109545328 A CN 109545328A
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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
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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
- 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
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Abstract
The invention discloses one kind to be based on big data individual inferior health nutrition and health care interference method and management system, method includes being based on evidence-based medicine EBM, epidemiology, Dietary survey, nutritional intervention data establish inferior health assessment initial model and nutrition and health care intervention stratege library, utilize the diet of large sample crowd, movement and sign information analysis statistical result revision inferior health assessment models parameter simultaneously carry out cross validation, the nutrition and health care intervention stratege that individual inferior health score conciliates read the newspaper announcement and recommendation is obtained by personal information, individual inferior health is periodically carried out during executing nutrition and health care intervention stratege to assess and be adjusted to obtain optimal intervention effect, the individual inferior health assessment models of optimization are persistently calculated using the accumulation data of individual information simultaneously.The management system for executing this method is made of four modules, including personal information obtains module, computing module, display module, supervision module.By this method and management system, it is embodied as resident and scientific, personalized, visualization, retrospective inferior health solution is provided and establish long-term health archives.
Description
Technical field
The present invention relates to a kind of interference method of inferior health and management systems, more particularly to one kind is based on big data and manually
The inferior health nutrition and health care interference method and management system of intelligence, belong to health care technical field.
Background technique
In recent years, with the progress of life science, people are more and more deep to the understanding of vital movement process, accordingly
Improve the cognition and intervention techniques level for occurring to disease, developing.With the development of evidence-based medicine EBM and life science, people couple
Disease criterion and kinds of Diseases determine to achieve many common recognitions, so that have the standard that clearly defines and divides to disease, benefit
It selects suitable means to intervene disease in healthcare practitioners, is allowed to that disease development is delayed even to restore to non-disease conditions.It is many
Well known, disease is a slow, progressive process, be from health status to sub-health state, then arrive morbid state
A process.At present in medical health field, so far, health and inferior health boundary line clear feasible are sentenced there is no one
Determine the standard of method and common recognition, so that people are to oneself, whether sub-health state is not apparent, and the degree of inferior health cannot also understand,
Often become a kind of ideal of empty talk so as to cause prevention disease.In addition, the biosystem that human body is complicated as one, structure
The accurate, coordinating and unifying to maintain good health status, but in place of the details of specific physiological activity everyone there may be
Difference, such as height, blood pressure, metabolic rate etc. are reflected in everyone normal condition physical signs not fully.Cause
This, had both considered that canopy index range or need embodied the difference of individual background to the differentiation of sub-health state and degree.
In fact, understanding of the people to self-disease or non-disease conditions (including health status and sub-health state) at present
It is reported from regularly medical institutions' physical examination, includes: 1, reference standard from medical conditions differentiation scope there are main problem, no
The comprehensive health of examinee or sub-health state can be assessed and degree is horizontal, whether can only be judged in morbid state；2, physical examination
Often ignore the background difference of examinee individual, such as diet, daily life, heredity, geography, age etc., Wu Faliao
Solution it is identical/close to the individual under background severity and between group, the difference condition of physiological status, and thereby determine that improvement side
To.Nutritional health food is considered to have the effect for adjusting function of human body, without toxic side effect, is suitble to long-term consumption, can be pre-
Anti- and reduction disease risks.Therefore, it is possible to make body recovery to health come the state of intervening sub-health using nutritional health food
It is horizontal.
Therefore, personalized inferior health nutrition and health care interference method and management system method of the foundation based on big data are for torsion
Sub-health state and prevention disease are of great significance.
Summary of the invention
The purpose of the present invention is to provide a kind of individual inferior health interference method based on big data and artificial intelligence and it is
System, the individual inferior health interference method based on big data and artificial intelligence the following steps are included:
(1) inferior health assessment is established based on evidence-based medicine EBM, epidemiology, Dietary survey, lifestyle modification data
Initial model and nutrition and health care intervention stratege library, model expression S=A1F1+A2F2+A3F3+…+AiFi, wherein S is inferior health
Score, Ai are i-th of Factor Weight coefficient, and Fi is i-th of factor；
(2) information collection end group is no less than diet movement and the sign information of 1000 people in collection rule acquisition, using more
Dimension statistics and regression analysis, clustering count each index median numerical value, distributed area and diet, movement and sign and believe
The correlation of breath；
(3) according to the correlation results of diet, movement and sign information, using analytic hierarchy process (AHP), comprehensive scoring method, it is main at
Divide the weight coefficient of analytic approach and the correlation fractal dimension revision models factor, global neurological network algorithm, Integrated Algorithm return and divide
Analysis, decision Tree algorithms and Mote Carlo model obtain all factors of expression model and the relational model of single factor values；
It (4) can using K times of cross-validation method (K-fold cross validation) verifying inferior health assessment models quality
By property, model prediction dependability parameter > 0.5 is acceptable；
(5) individual information is inputted using information collection end and assess correction model to inferior health, obtain personal inferior health score
And interpretation, and the nutrition and health care intervention stratege recommended；
(6) by the personal information data steps for importing (2) of above-mentioned (5), (2) is repeated and arrive (4) step, optimize inferior health score
Assessment models；
(7) after individual executes the nutrition and health care intervention stratege that above-mentioned (5) recommend, information collection end group is acquired in collection rule
The diet movement of individual and sign information, input inferior health assessment models, personal inferior health score and interpretation are obtained, according to score
Variation tendency, the nutrition and health care intervention stratege that holding/adjustment is recommended；
(8) by the personal information data steps for importing (2) of above-mentioned (7), (2) is repeated and arrive (4) step, advanced optimized sub- strong
Kang get Fen assessment models.
Further, in the assessment models of step (1), the weight coefficient of all factors adds up to 1；The factor forms source packet
Include diet exercise factor, sign information factor.
Further, in step (2) and (7), the collection rule includes acquisition time, information type and frequency.
Further, personal information source includes that physical examination data, questionnaire survey data, intelligence can be worn in step (5) and (8)
Wear the detection data of equipment.
Further, step (6) and (8) continue inferior health score evaluation model by the accumulation of individual data items
Property optimization, realize more personalized inferior health assessment and nutrition and health care intervention effect.
The individual inferior health interfering system based on big data and artificial intelligence includes:
(1) personal information obtains module, for including diet movement, physical examination report, wearable device data acquisition；
(2) computing module, for the building of inferior health assessment models and Continuous optimization, individual inferior health assessment score reconciliation
It reads, the screening of nutrition and health care intervention stratege；
(3) display module, for individual inferior health score and interpretation, nutrition and health care intervention stratege to be shown in intelligent movable
Terminal；
(4) supervision module, for confirming and reminding personal execution nutrition and health care intervention stratege.
Compared with prior art, the beneficial effect of technical solution of the present invention is: 1, using newest evidence-based medicine EBM,
Epidemiology, Dietary survey and crowd intervene scientific big data can more fully, science, objectively know inferior health
Influence factor and measurement index, so that inferior health score model is more representative；2, using the integrated data of no less than 1000 people,
Optimization and verifying inferior health score model, and Continuous optimization model is accumulated using individual data items, so that inferior health assessment models are more
It is accurate；3, by individual input data, using inferior health score assessment models, so that individual will be seen that it between group
Difference degree in comprehensive factor dimension, rather than only evaluated whether with medical guidelines in morbid state；4, pass through individual
The continuous accumulation of data, Continuous optimization inferior health score model, finally makes inferior health assessment models evolve as personalization
Accurate model, it is meant that everyone health and inferior health parameter be different；5, nutrition and health care intervention stratege is originated from group
Feedback adjustment after volume data result and individual implementation, so that nutritional intervention scheme is more scientific and personalized, thus intervenes effect
Fruit is more preferable；6, the individual inferior health nutrition and health care interfering system based on big data and artificial intelligence is utilized mobile, intelligent, convenient
Internet technology advantage so that individual can quickly know improvement feelings using inferior health during nutrition and health care intervention stratege
Thus condition and inferior health change curve further promote individual to execute nutrition and health care intervention stratege, so that inferior health torsion and disease
Disease prevention is more effective.
Detailed description of the invention
The individual inferior health nutrition and health care interference method step schematic diagram of Fig. 1 embodiment of the present invention 1.
The individual inferior health nutrition and health care of Fig. 2 embodiment of the present invention 1 intervenes the composition schematic diagram of management system.
Specific embodiment
The attached figures are only used for illustrative purposes and cannot be understood as limitating the patent.
For those skilled in the art, certain known features and its explanation may be omitted, amplify or contract in attached drawing
It is small to will be understood by.
Technical scheme is described further with reference to the accompanying drawings and examples.
Embodiment 1
As shown in Figure 1, a kind of individual inferior health nutrition and health care interference method based on big data and artificial intelligence, including with
Lower step:
(1) inferior health assessment is established based on evidence-based medicine EBM, epidemiology, Dietary survey, lifestyle modification data
Initial model and nutrition and health care intervention stratege library, model expression S=A1F1+A2F2+A3F3+…+AiFi, wherein S is inferior health
Score, Ai are i-th of Factor Weight coefficient, and Fi is i-th of factor；
(2) information collection end group is no less than diet movement and the sign information of 1000 people in collection rule acquisition, using more
Dimension statistics and regression analysis, clustering count each index median numerical value, distributed area and diet, movement and sign and believe
The correlation of breath；
(3) according to the correlation results of diet, movement and sign information, using analytic hierarchy process (AHP), comprehensive scoring method, it is main at
Divide the weight coefficient of analytic approach and the Gray Association Analysis revision models factor, global neurological network algorithm, Integrated Algorithm return and divide
Analysis, decision Tree algorithms and Mote Carlo model obtain all factors of expression model and the relational model of single factor values；
It (4) can using K times of cross-validation method (K-fold cross validation) verifying inferior health assessment models quality
By property, model prediction dependability parameter > 0.5 is acceptable；
(5) individual information is inputted using information collection end and assess correction model to inferior health, obtain personal inferior health score
And interpretation, and the nutrition and health care intervention stratege recommended；
(6) by the personal information data steps for importing (2) of above-mentioned (5), (2) is repeated and arrive (4) step, optimize inferior health score
Assessment models；
(7) after individual executes the nutrition and health care intervention stratege that above-mentioned (5) recommend, information collection end group is acquired in collection rule
The diet movement of individual and sign information, input inferior health assessment models, personal inferior health score and interpretation are obtained, according to score
Variation tendency, the nutrition and health care intervention stratege that holding/adjustment is recommended；
(8) by the personal information data steps for importing (2) of above-mentioned (7), (2) is repeated and arrive (4) step, advanced optimized sub- strong
Kang get Fen assessment models.
In specific implementation process of the present invention, data described in step (1) include evidence-based medicine EBM, epidemiology, diet
The lasting open achievement that nutrition survey, lifestyle modification are studied, the Optimized model factor and weight coefficient value and score are interpreted
Content, and nutrition and health care intervention stratege content is adjusted according to newest nutrition-epidemiology result of study.
In specific implementation process of the present invention, in step (4) inferior health assessment models quality verification, 1000 are at least carried out
Person-time verifying, the equal > 0.5 of the reliability of the adjustment model parameter.
In specific implementation process of the present invention, the information from questionnaire, health examination, wearable device is stored in foundation
In the database of cloud server, database platform provides API (application programming interfaces) towards all users, including physical-examination machine
Structure, individual, intelligent mobile terminal, detection device, wearable device.Mobile terminal, detection device and the wearable device
With wireless communication function, the sign information of acquisition individual is preset and has obtained the period of feedback information, for example, can lead to
Cross diet and motion information that mobile terminal setting reminds before 10 points user to input the same day at night daily；It is described wearable to set
It is standby to can be blood pressure instrument, BOLD contrast, rhythm of the heart monitor, sweat composition detection instrument etc., when acquisition time is divided into early, middle and late three
Between section.The information of acquisition can be temporarily stored on mobile terminal and wearable device, periodically be uploaded to by wireless communication networks
In cloud database.
In implementation process of the present invention, it can get and be input in inferior health assessment models by personal information, obtained Asia is strong
Health assesses the nutrition and health care intervention stratege of score and recommendation, and individual executes the personalized nutritional health care intervention stratege recommended, for example,
When serum triglyceride is 1.8mmol/L in personal information, recommending the daily amount of fish oil ω -3 is 400mg；Work as individual
Serum triglyceride is 2.0mmol/L in information, and recommending the daily amount of fish oil ω -3 is 800mg；When blood in personal information
When clear triglycerides is 2.0mmol/L and daily fiber intake is 25g, recommending the daily amount of fish oil ω -3 is 600mg.
Since the decline of serum triglyceride is a slow process, during carrying into execution a plan, reminded with reminding module function
The fish oil of individual daily recommended dose, and the level of triglycerides in a fasting blood is tested within every 2 months, information is defeated
Enter inferior health assessment models to be assessed again, such as score value decline and triglyceride levels decline but without being less than 1.7mmol/
L continues that the fish oil of same dose is kept to take；Such as score value rising and triglyceride levels rise, and adjust nutrition and health care intervention
The intake of daily edible oil is controlled 20g or less by scheme, the daily amount of such as double fish oil ω -3；In addition, the nutrition of adjustment
Health care intervention stratege further includes secondary on every Thursdays, each at least 40 minutes middle-distance races.
In the specific implementation process, the stage is shown in inferior health score, using visual supervision statistical analysis side
Method, the difference degree of the canopy index to show personal index and composition inferior health assessment models, can more intuitively see
Position of the individual in canopy index.In addition, exported on mobile terminal or display screen the report of corresponding inferior health score and
It interprets, nutrition and health care intervention stratege.
In the specific implementation process, it is repeatedly continuously carrying out the assessment of inferior health score and is continuing nutrition and health care intervention stratege one
After the section time, by data accumulation, personal health electronic record and performance graph are established, it is bent to understand itself inferior health variation
The trend that line knows itself functional state and the deviation situation of a wide range of crowd, and improved by seeing inferior health, so that holding
Field headquarters supports that care plans are more dynamic and persistence.In addition, passing through the continuous accumulation of individuation data information, inferior health is assessed
Model carries out Continuous optimization, improves the accuracy of model, further increases the accuracy to individual inferior health assessment result.
In addition, the present invention also provides a kind of individual inferior health nutrition and health care intervention pipe based on big data and artificial intelligence
Reason system.
Fig. 2 is that the present invention is based on the system structures of big data and the individual inferior health interference method embodiment 1 of artificial intelligence
Schematic diagram.
In an embodiment of the present invention, it includes that personal information obtains module that management system is intervened in the individual inferior health
S1, computing module S2, display module S3, supervision module S4.
In the specific implementation process, module S1 be arranged Questionnaire systems, physical examination report scan and read system, be wirelessly connected
Wearable device, for example input in questionnaire one day diet type and amount, amount of exercise；Blood pressure instrument, BOLD contrast with WIFI, in blood
Pressure instrument, set in BOLD contrast blood pressure, oximetry data acquisition time as it is early, middle and late three times, individual diet motion information and body
Reference breath reaches computing module S2 by wireless telecommunications.
In the specific implementation process, it is located on Cloud Server in module S2, the inferior health by storing optimization in server is commented
Estimate model, by the individual information inputted, obtain inferior health score and reported for the explanation of score, and from nutrition and health care intervention
The nutrition and health care intervention stratege filtered out in scheme base.Above- mentioned information are shown by wireless telecommunications in module S3, show work
Tool can be smart phone, tablet computer or the equipment with voice play function.In module S4, ask whether that execution pushes away first
The nutrition and health care intervention stratege recommended, after confirmation executes, built-in system is ordered from the online shopping mall of connection automatically and executes 2 by scheme
The nutrient and healthcare products that the moon is measured, movement and dietary recommendation are then used as candidate Accessibility choice.Then, it reminds daily after the meal or before the meal,
Or nutrient and healthcare products and corresponding dosage are taken before sleeping, and periodically remind diet, movement execution and input execution data result,
Scheme for duration two weeks or after one month is reminded individual to try again inferior health assessment, MIM message input module S2, is looked into module S3
It sees as a result, then further execution module S4, is consequently formed individual inferior health nutrition and health care intervention circulation, reaches recovery to health
The result of state.
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be pair
The restriction of embodiments of the present invention may be used also on the basis of the above description for those of ordinary skill in the art
To make other variations or changes in different ways, all embodiments can not be exhaustive here, it is all to belong to this hair
The obvious changes or variations that bright technical solution is extended out are still in the scope of protection of the present invention.
Claims (6)
1. a kind of individual inferior health interference method based on big data and artificial intelligence, which is characterized in that method includes following step
It is rapid:
(1) inferior health assessment is established initially based on evidence-based medicine EBM, epidemiology, Dietary survey, lifestyle modification data
Model and nutrition and health care intervention stratege library, model expression S=A1F1+A2F2+A3F3+…+AiFi, wherein S obtains for inferior health
Point, Ai is i-th of Factor Weight coefficient, and Fi is i-th of factor；
(2) information collection end group is no less than diet movement and the sign information of 1000 people in collection rule acquisition, is united using multidimensional
Meter and regression analysis, clustering count each index median numerical value, distributed area and diet, movement and sign information
Correlation；
(3) according to the correlation results of diet, movement and sign information, analytic hierarchy process (AHP), comprehensive scoring method, principal component point are utilized
The weight coefficient of analysis method and the Gray Association Analysis revision models factor, global neurological network algorithm, Integrated Algorithm, regression analysis,
Decision Tree algorithms and Mote Carlo model obtain all factors of expression model and the relational model of single factor values；
(4) inferior health assessment models reliable in quality is verified using K times of cross-validation method (K-fold cross validation)
Property, model prediction dependability parameter > 0.5 is acceptable；
(5) individual information is inputted using information collection end and assess correction model to inferior health, obtain personal inferior health score reconciliation
It reads, and the nutrition and health care intervention stratege recommended；
(6) by the personal information data steps for importing (2) of above-mentioned (5), (2) is repeated and arrive (4) step, optimization inferior health score assessment
Model；
(7) after individual executes the nutrition and health care intervention stratege that above-mentioned (5) recommend, information collection end group acquires individual in collection rule
Diet movement and sign information, input inferior health assessment models, obtain personal inferior health score and interpretation, changed according to score
Trend, the nutrition and health care intervention stratege that holding/adjustment is recommended；
(8) by the personal information data steps for importing (2) of above-mentioned (7), (2) is repeated and arrive (4) step, inferior health is advanced optimized and obtains
Divide assessment models.
2. the individual inferior health interference method according to claim 1 based on big data and artificial intelligence, which is characterized in that
In the assessment models of step (1), the weight coefficient of all factors adds up to 1；The factor include diet exercise factor, sign information because
Element.
3. the individual inferior health interference method according to claim 1 based on big data and artificial intelligence, which is characterized in that
Collection rule described in step (2) includes acquisition time, information type and frequency.
4. the individual inferior health interference method according to claim 1 based on big data and artificial intelligence, which is characterized in that
Individual information source includes physical examination data, questionnaire survey data, the detection data of intelligent wearable device in step (5).
5. the individual inferior health interference method according to claim 1-4 based on big data and artificial intelligence is a
Application in the intervention of body sub-health state.
6. management system is intervened in a kind of individual inferior health based on big data and artificial intelligence, which is characterized in that it is described based on
It includes that personal information obtains module, computing module, display mould that management system is intervened in the individual inferior health of big data and artificial intelligence
Block and supervision module, in which: personal information obtains module and is used for diet movement, physical examination report, wearable device data acquisition, meter
It calculates module and calculates and interpret, nutrition and health care intervention for the building of inferior health assessment models and Continuous optimization, individual inferior health score
Option screening, display module are used in the individual inferior health score of mobile intelligent terminal display and interpretation, nutrition and health care intervention stratege,
Supervision module is for confirming and reminding personal execution nutrition and health care intervention stratege.
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