CN116779167A - Cloud health internet platform system - Google Patents
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- CN116779167A CN116779167A CN202310797057.8A CN202310797057A CN116779167A CN 116779167 A CN116779167 A CN 116779167A CN 202310797057 A CN202310797057 A CN 202310797057A CN 116779167 A CN116779167 A CN 116779167A
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- 230000036541 health Effects 0.000 title claims abstract description 83
- 238000013500 data storage Methods 0.000 claims abstract description 9
- 238000004458 analytical method Methods 0.000 claims description 70
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 13
- 239000008280 blood Substances 0.000 claims description 12
- 210000004369 blood Anatomy 0.000 claims description 12
- 230000033001 locomotion Effects 0.000 claims description 12
- 235000016709 nutrition Nutrition 0.000 claims description 12
- 235000005911 diet Nutrition 0.000 claims description 9
- 230000037213 diet Effects 0.000 claims description 8
- 230000035764 nutrition Effects 0.000 claims description 8
- 230000036772 blood pressure Effects 0.000 claims description 6
- 230000036760 body temperature Effects 0.000 claims description 6
- 235000013305 food Nutrition 0.000 claims description 6
- 235000004280 healthy diet Nutrition 0.000 claims description 6
- 230000001502 supplementing effect Effects 0.000 claims description 6
- 230000003907 kidney function Effects 0.000 claims description 4
- 230000003908 liver function Effects 0.000 claims description 4
- 229940079593 drug Drugs 0.000 claims description 3
- 239000003814 drug Substances 0.000 claims description 3
- 239000000203 mixture Substances 0.000 claims description 3
- 210000002700 urine Anatomy 0.000 claims description 3
- 235000004251 balanced diet Nutrition 0.000 claims description 2
- 238000012544 monitoring process Methods 0.000 claims description 2
- 238000012545 processing Methods 0.000 claims description 2
- 239000004615 ingredient Substances 0.000 claims 2
- 235000013402 health food Nutrition 0.000 claims 1
- 238000007405 data analysis Methods 0.000 abstract description 3
- 230000006870 function Effects 0.000 description 18
- 238000000034 method Methods 0.000 description 10
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- 238000007477 logistic regression Methods 0.000 description 3
- 238000007726 management method Methods 0.000 description 3
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- 238000012549 training Methods 0.000 description 3
- 238000007476 Maximum Likelihood Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 235000015097 nutrients Nutrition 0.000 description 2
- 238000002076 thermal analysis method Methods 0.000 description 2
- 241000195493 Cryptophyta Species 0.000 description 1
- 241000233866 Fungi Species 0.000 description 1
- 206010028980 Neoplasm Diseases 0.000 description 1
- 244000046052 Phaseolus vulgaris Species 0.000 description 1
- 235000010627 Phaseolus vulgaris Nutrition 0.000 description 1
- 244000061456 Solanum tuberosum Species 0.000 description 1
- 235000002595 Solanum tuberosum Nutrition 0.000 description 1
- 229920002472 Starch Polymers 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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- 230000004217 heart function Effects 0.000 description 1
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- 229910052760 oxygen Inorganic materials 0.000 description 1
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- 230000002194 synthesizing effect Effects 0.000 description 1
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Classifications
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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
-
- 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
-
- 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
- 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
-
- 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
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Epidemiology (AREA)
- Data Mining & Analysis (AREA)
- Pathology (AREA)
- Databases & Information Systems (AREA)
- Biomedical Technology (AREA)
- Nutrition Science (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The application discloses a cloud health internet platform system which comprises a network data storage end and a network cloud end, wherein the network cloud end and the network data storage end mutually transmit data through the internet, the network cloud end comprises a consultation center, a pharmacy center, an online reservation, a mobile phone end, an offline physical examination platform and a hospital big data platform, and a user downloads or views the data of the network cloud end through the mobile phone end. The system can generate personalized health reports and recommend health services suitable for users by collecting health data of the users and analyzing the data by utilizing the data analysis and display module, and simultaneously, the users can manage own health data and health service records by the system, intuitively enable the users to know own health conditions and timely find problems to solve, thereby bringing convenience.
Description
Technical Field
The application belongs to the technical field of medical health, and particularly relates to a cloud health internet platform system.
Background
Along with the rapid development of the internet and the progress of medical technology, health management has become a part of daily life of people, but the traditional health management mode has many problems, such as lack of personalized health service, asynchronous information, safe data and the like, and incapability of timely letting users know own health conditions, and the like, so we propose a cloud health internet platform system.
Disclosure of Invention
Aiming at the defects of the prior art, the application provides a cloud health internet platform system, which solves the problems of inconvenience and numerous problems in the traditional health management.
In order to achieve the above purpose, the present application provides the following technical solutions: the cloud health internet platform system comprises a network data storage end and a network cloud end, wherein the network cloud end and the network data storage end mutually transmit data through the internet, the network cloud end comprises a consultation center, a pharmacy center, an online reservation, a mobile phone end, an offline physical examination platform and a hospital big data platform, and a user downloads or views the data of the network cloud end through the mobile phone end.
Preferentially, the mobile phone terminal is internally provided with an APP for a user to log in, the APP comprises a diet health module, a human health module and a heart rate health module, and data in the APP is uploaded and stored by the user.
Preferentially, the inside thermal analysis module, nutrient composition analysis module and the moisture supplement analysis module that is included of healthy module of diet, thermal analysis module can carry out the analysis to the heat of each big food to carry out intelligent ratio, let the user guarantee balanced healthy diet, nutrient composition analysis module can carry out intelligent analysis to the inside nutrition of each big food, and carry out the ratio, let the user guarantee healthy diet, the moisture supplement analysis module can carry out the analysis to the required water yield of user a day, and remind people timely supplementary moisture.
Preferably, the human health module comprises a weight analysis module, a height analysis module and a motion analysis module, and the human health module detects the human health by the user independently and uploads data.
Preferentially, the weight analysis module records weight data currently uploaded by a user and compares and analyzes health degrees of past old data, the height analysis module records height data currently uploaded by the user and compares and analyzes health degrees of past old data, and the movement analysis module records movement data currently uploaded by the user and analyzes consumption and scientific resting modes brought by movement.
Preferentially, the heart rate health module comprises a breath analysis module, a blood pressure analysis module and a body temperature analysis module, bluetooth connection is arranged between the mobile phone end and the intelligent health watch, and the breath analysis module, the blood pressure analysis module and the body temperature analysis module are all monitored through the worn intelligent health watch and upload data to the inside of the mobile phone end.
Preferentially, the items of the offline physical examination platform comprise blood routine examination, urine routine examination, liver function examination, kidney function examination and blood fat examination, and the data are uploaded into the cloud end of the network through a doctor.
Preferably, the hospital big data platform internally comprises historical case data of each patient, and the user can inquire about own historical cases by logging in the APP.
Preferably, the consultation center includes a plurality of intelligent AI doctors, which can combine the case analysis of big data and answer the questions of the user.
Preferably, the pharmacy center allows the user to purchase the medication, and the online reservation allows the user to reserve the hospital online and take the number.
Compared with the prior art, the application has the following beneficial effects:
the system can generate personalized health reports and recommend health services suitable for users by collecting health data of the users and analyzing the data by utilizing the data analysis and display module, and simultaneously, the users can manage own health data and health service records by the system, intuitively enable the users to know own health conditions and timely find problems to solve, thereby bringing convenience.
Drawings
FIG. 1 is a diagram of a cloud health system of the present application.
FIG. 2 shows the water intake required by a user for one day in the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The application provides a technical scheme that: the cloud health Internet platform system comprises a network data storage end and a network cloud end, wherein the network cloud end and the network data storage end mutually transmit data through the Internet, the network cloud end comprises a consultation center, a pharmacy center, an online reservation, a mobile phone end, an offline physical examination platform and a hospital big data platform, and a user downloads or views the data of the network cloud end through the mobile phone end.
The network cloud can generate personalized health reports according to the data uploaded by the user, meanwhile, the module can display the health data trend graph of the user and provide related suggestions, and according to the health data and personal requirements of the user, health services suitable for the user, such as health consultation, appointment doctors and the like, can be recommended, and appointment registration processing can be carried out on line independently.
Further, the mobile phone terminal is internally provided with an APP for a user to log in, the APP comprises a diet health module, a human health module and a heart rate health module, and data in the APP is uploaded and stored by the user.
The mobile phone APP needs the user to perform autonomous login, an independent password is set up, privacy is prevented from being stolen by others, pages in the APP are clear and concise, and no advertisement exists.
Further, the inside of the diet health module comprises a heat analysis module, a nutrition component analysis module and a water supplementing analysis module, the heat analysis module analyzes the heat of each big food and carries out intelligent proportioning, so that a user can ensure balanced and healthy diet, the nutrition component analysis module can carry out intelligent analysis on the nutrition in each big food and carries out proportioning, the user can ensure healthy diet, and the water supplementing analysis module can analyze the water quantity required by the user for one day and remind people of timely supplementing water.
The nutrition component analysis module and the heat analysis module comprise 21 major categories, namely grains and products, potatoes, starch and products, fungus and algae, dried beans and products, vegetables and products, nuts, seeds, fruits and products, livestock meat and products and the like, so that the nutrition components in the nutrition component analysis module and the heat analysis module can be uniformly analyzed;
the method has the advantages that the dietary structure and the nutritional status in the period can be analyzed in real time, the nutritional deviation can be found in time, scientific nutritional recommendation is given, the reasonable diet in the unit period of an analysis object is calculated, the reasonable nutritional target is determined for the analysis object, and the diet is scientifically guided;
the water supplement analysis module calculates the optimal water intake of a person in one day, analyzes the water intake required in each period through mathematical calculation, and prompts the user through the APP;
as shown in fig. 2, the user may largely replenish water when waking up, and timely replenishment of water is also required at noon and evening.
Further, the human health module comprises a weight analysis module, a height analysis module and a motion analysis module, and the human health module detects autonomously by a user and uploads data.
The human health analysis module can analyze user health data by using an AI technology, provide corresponding suggestions, adjust a training plan according to analysis results, record health data such as exercise, sleep, heart rate, blood oxygen and the like of a user, intuitively know the health condition of the user through a data visualization chart, set regular reminding for keeping good life habits of the user, such as regular water drinking, sitting to improve life quality and the like, generate personalized exercise reports, enable the user to clearly see the exercise state and health level of the user, and monitor the user in real time by wearing an intelligent health watch.
Further, the weight analysis module can record weight data uploaded by a user currently, compare and analyze health degrees of past old data, the height analysis module can record height data uploaded by the user currently, compare and analyze health degrees of past old data, and the motion analysis module can record motion data uploaded by the user currently, and analyze consumption and scientific rest modes brought by motion.
Further, the heart rate health module comprises a breath analysis module, a blood pressure analysis module and a body temperature analysis module, bluetooth connection is arranged between the mobile phone end and the intelligent health watch, and the breath analysis module, the blood pressure analysis module and the body temperature analysis module are all used for monitoring through the worn intelligent health watch and uploading data to the inside of the mobile phone end.
Further, the items of the offline physical examination platform include blood routine examination, urine routine examination, liver function examination, kidney function examination and blood fat examination, and the doctor uploads the data to the cloud end of the network.
Physical examination items more specifically include whole body examinations, blood drawing examinations, auxiliary item examinations, whole body examinations: the medical, surgical, ophthalmic and otorhinolaryngological examinations comprise B ultrasonic, electrocardiogram and X-ray, blood drawing examination is blood routine, liver function, kidney function, blood fat, blood sugar, heart function and the like, and tumor project examination can enable a user to timely know own physical condition, record early and timely, and enable the user to recover health and adjust back according to cloud health analysis.
Furthermore, the hospital big data platform internally comprises the historical case data of each patient, and the user can inquire about the historical case by logging in the APP.
Furthermore, the consultation center comprises a plurality of intelligent AI doctors, so that case analysis of big data can be combined, and the questions of the user can be answered.
Furthermore, the pharmacy center can enable the user to purchase medicines, and online reservation can enable the user to reserve a hospital online and take numbers.
The mathematical model adopted in the data and statistical analysis process of the system in the platform system is a logistic regression model, logistic regression is a generalized linear model, and the classification prediction is realized by linearly combining input features and weights and mapping the result between [0,1] through a logistic function;
establishing a proper prediction function, which is assumed to be expressed as an h function, and is a classification function required for predicting the judging result of input data, wherein the process is of great importance, and the data needs to be subjected to certain understanding or analysis, so that an approximate form of the prediction function is understood or speculated, such as a linear function or a nonlinear function;
constructing a loss function, synthesizing a cost function, wherein the loss function is the deviation between the predicted output h of each sample and the training data category y, and can be the difference between two (h-y), (h-y) 2 or other forms, and taking the loss of all training data into account, calculating the sum or average value of the loss function as the cost function, and J (theta) is expressed as a function;
finding out the minimum value of the cost function and determining the parameters, obviously, the smaller the predicted value and the actual value, the better the performance of the predicted function, and therefore the smaller the value of the J (theta) I hope to be, the better, and therefore, the step needs J (theta) to find out the minimum value of the function, and different methods can find out the minimum value of the function;
logistic regression is a classification method for two classification problems, according to the above steps, first of all a prediction function hθ (x), here assuming a linear boundary form expressed as: q0+q1+q2+q3+ … … +qn= Acv =ax; the functional form is z (v) =1/1+c,
the probabilities are written comprehensively as:
P(yx；0)＝(hg(x))'(1-hg(x))；
l (0) = lIP (; x; 0) =l [ (g () "(-h (x)) -33 log likelihood function is 1 (0) =log L (0) = (y; log (x,) + (-y) log (1-hg (x,)));
the maximum likelihood estimation is 0 when (0) is the maximum value, and in fact, the maximum likelihood estimation can be solved by using a gradient ascent method, and the obtained 0 is the required optimal parameter.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the application, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The cloud health internet platform system is characterized in that: the online data storage system comprises a network data storage end and a network cloud end, wherein the network cloud end and the network data storage end mutually transmit data through the Internet, the network cloud end comprises a consultation center, a pharmacy center, online reservation, a mobile phone end, an offline physical examination platform and a hospital big data platform, and a user downloads or views the data of the network cloud end through the mobile phone end.
2. The cloud health internet platform system of claim 1, wherein: the mobile phone terminal is internally provided with an APP for a user to log in, the APP comprises a diet health module, a human health module and a heart rate health module, and data in the APP is uploaded and stored by the user.
3. The cloud health internet platform system of claim 2, wherein: the health food processing system is characterized in that the diet health module comprises a heat analysis module, a nutritional ingredient analysis module and a moisture supplementing analysis module, wherein the heat analysis module analyzes the heat of each big food and intelligently mixes the heat with the heat to ensure balanced and healthy diet for users, the nutritional ingredient analysis module can intelligently analyze and mix the nutrition in each big food to ensure healthy diet for users, and the moisture supplementing analysis module can analyze the water quantity required by the users in one day and remind people of timely supplementing moisture.
4. The cloud health internet platform system of claim 2, wherein: the human health module comprises a weight analysis module, a height analysis module and a motion analysis module, and the human health module detects autonomously by a user and uploads data.
5. The cloud health internet platform system of claim 4, wherein: the weight analysis module can record weight data currently uploaded by a user and compare and analyze health degrees of past old data, the height analysis module can record height data currently uploaded by the user and compare and analyze health degrees of past old data, and the motion analysis module can record motion data currently uploaded by the user and analyze consumption and scientific rest modes brought by motions.
6. The cloud health internet platform system of claim 2, wherein: the heart rate health module comprises a breath analysis module, a blood pressure analysis module and a body temperature analysis module, bluetooth connection is arranged between the mobile phone end and the intelligent health watch, and the breath analysis module, the blood pressure analysis module and the body temperature analysis module are all used for monitoring through the worn intelligent health watch and uploading data to the inside of the mobile phone end.
7. The cloud health internet platform system of claim 1, wherein: the items of the offline physical examination platform comprise blood routine examination, urine routine examination, liver function examination, kidney function examination and blood fat examination, and data are uploaded into the cloud end of the network through a doctor.
8. The cloud health internet platform system of claim 1, wherein: the hospital big data platform internally comprises the historical case data of each patient, and a user can inquire about own historical cases by logging in the APP.
9. The cloud health internet platform system of claim 1, wherein: the consultation center comprises a plurality of intelligent AI doctors, can combine the case analysis of big data and answer the questions of the users.
10. The cloud health internet platform system of claim 1, wherein: the pharmacy center can enable the user to purchase medicines, and the online reservation can enable the user to reserve a hospital online and take numbers.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310797057.8A CN116779167A (en) | 2023-07-03 | 2023-07-03 | Cloud health internet platform system |
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| CN202310797057.8A CN116779167A (en) | 2023-07-03 | 2023-07-03 | Cloud health internet platform system |
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