CN110808102A - Information pushing method, system and terminal of health platform - Google Patents
Information pushing method, system and terminal of health platform Download PDFInfo
- Publication number
- CN110808102A CN110808102A CN201911060658.0A CN201911060658A CN110808102A CN 110808102 A CN110808102 A CN 110808102A CN 201911060658 A CN201911060658 A CN 201911060658A CN 110808102 A CN110808102 A CN 110808102A
- Authority
- CN
- China
- Prior art keywords
- information
- pushing
- gene
- user
- disease
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000036541 health Effects 0.000 title claims abstract description 45
- 238000000034 method Methods 0.000 title claims abstract description 38
- 108090000623 proteins and genes Proteins 0.000 claims abstract description 86
- 201000010099 disease Diseases 0.000 claims abstract description 71
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 71
- 230000002068 genetic effect Effects 0.000 claims abstract description 31
- 238000005070 sampling Methods 0.000 claims abstract description 24
- 238000012360 testing method Methods 0.000 claims description 22
- 208000024891 symptom Diseases 0.000 claims description 21
- 235000016709 nutrition Nutrition 0.000 claims description 10
- 238000005516 engineering process Methods 0.000 claims description 9
- 238000012163 sequencing technique Methods 0.000 claims description 8
- 230000000386 athletic effect Effects 0.000 claims description 5
- 230000003860 sleep quality Effects 0.000 claims description 5
- 238000004590 computer program Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 description 5
- 238000003745 diagnosis Methods 0.000 description 4
- 238000013473 artificial intelligence Methods 0.000 description 2
- 230000006399 behavior Effects 0.000 description 2
- 239000008280 blood Substances 0.000 description 2
- 210000004369 blood Anatomy 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 229940079593 drug Drugs 0.000 description 2
- 239000003814 drug Substances 0.000 description 2
- 208000019622 heart disease Diseases 0.000 description 2
- 201000007270 liver cancer Diseases 0.000 description 2
- 208000014018 liver neoplasm Diseases 0.000 description 2
- 230000036285 pathological change Effects 0.000 description 2
- 231100000915 pathological change Toxicity 0.000 description 2
- 230000002265 prevention Effects 0.000 description 2
- 210000003296 saliva Anatomy 0.000 description 2
- 208000026350 Inborn Genetic disease Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 208000016361 genetic disease Diseases 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 235000015097 nutrients Nutrition 0.000 description 1
- 230000005180 public health Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
Images
Classifications
-
- 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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Public Health (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Medical Informatics (AREA)
- Health & Medical Sciences (AREA)
- Epidemiology (AREA)
- Pathology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Biomedical Technology (AREA)
- Control Of Vending Devices And Auxiliary Devices For Vending Devices (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention relates to the field of health information pushing, in particular to a method, a system and a terminal for pushing information of a health platform, wherein the method for pushing the information of the health platform comprises the following steps: acquiring a sampling gene; judging the genetic risk of the diseases related to the genes according to the sampled genes; acquiring physiological indexes and flow information of a user; and comprehensively pushing the information according to the genetic risk of the disease, the physiological indexes and the flow information. According to the information pushing method, the system and the terminal of the health platform, the health condition of the user is analyzed, and the related information is pushed, so that better help is provided for the user in health.
Description
Technical Field
The invention relates to the field of health information pushing, in particular to an information pushing method, system and terminal of a health platform.
Background
In recent years, people pay more and more attention to the problem of physical health due to the pressure of life and work, and the current situation of the Chinese medical industry is as follows: many doctors in three hospitals see a great amount of diseases, patients with small diseases serve as large doctors, the utilization rate of hospital resources is low, and the popularization of a classified diagnosis and treatment system is urgent. The existing artificial intelligent auxiliary inquiry system for the hospital has single function and can only answer simple diseases for patients, and because the types of departments of the existing hospital are increased and the scale of the hospital is continuously enlarged, the departments registered by the patients are more and more inconvenient to find, but the existing artificial intelligent auxiliary inquiry system for the hospital cannot help the patients to quickly find the departments to be diagnosed; moreover, the existing artificial intelligence aided inquiry system for the hospital cannot help the patient to quickly find out the doctor who wants to see a doctor and the person who needs to accompany.
Under the background, a plurality of intelligent medical entrepreneurial companies are introduced, however, the diagnosis logic is complex, the user expression is various, and how to connect the public health, so that three technical challenges are provided in the development process of artificial intelligence and medical treatment. Most of the prior art can realize the cross-distance diagnosis through on-line expert inquiry, but the later maintenance of health is lacked.
In order to solve the above problems, the present invention provides an information pushing method, system and terminal for a health platform. By the method, the health condition of the user can be analyzed and related information can be pushed, so that better help can be provided for the user on health.
Disclosure of Invention
The invention provides a method, a system and a terminal for pushing information of a health platform. The method of the invention provides better help for the health of the user by analyzing the health condition of the user and pushing the related information.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
an information pushing method of a health platform comprises the following steps:
acquiring a sampling gene;
judging the genetic risk of the diseases related to the genes according to the sampled genes;
acquiring physiological indexes and flow information of a user;
and comprehensively pushing the information according to the genetic risk of the disease, the physiological indexes and the flow information.
Preferably, the sampled gene is obtained by collecting a sample through a gene test strip, and the gene test strip is recovered through a vending machine which is used for vending gene products and nutritional health products.
Further preferably, the determining genetic risk of a disease related to a gene based on a sampled gene is specifically: analyzing the sampled gene by gene sequencing technology to judge the genetic risk of the disease. The gene sequencing technology is a novel gene detection technology, can analyze and determine the complete sequence of genes from blood or saliva, predicts the possibility of suffering from various diseases, and has reasonable behavior characteristics and behaviors of individuals. The gene sequencing technology can lock the individual pathological change gene and prevent and treat in advance.
Preferably, the physiological indexes include: heartbeat condition, sleep quality, number of athletic steps. In the prior art, the physiological indexes of the user are easy to obtain, and the physical condition of the user is further analyzed by obtaining the physiological index import platform.
Preferably, the comprehensive information pushing specifically includes:
acquiring high-risk diseases;
obtaining a symptom generating symptom set of the disease;
matching the physiological index with the symptom set;
if the matching is successful, early warning and related disease information recommendation are carried out;
and if the matching is unsuccessful, comprehensively pushing the information. The two information recommendation methods are different, and the successful matching is to judge that the user has a high risk of suffering from a disease, so that the information of the direction related to the disease is provided for the user to push. If the matching is unsuccessful, the probability of the disease of the user is smaller, and at the moment, comprehensive pushing is carried out.
Further preferably, the comprehensive information pushing includes:
acquiring high-risk diseases, physiological indexes and browsing information;
and calculating user preference according to the proportional weight of each piece of information, and recommending related articles and commodities. By comprehensively pushing the three indexes, the conditions of the user are more comprehensively analyzed, and multidirectional comprehensive pushing is realized.
An information push system of a health platform, comprising:
a sampling gene acquisition module: the sampling gene acquisition module is used for acquiring sampling genes;
a disease determination module: the disease judgment module is used for judging genetic risk of diseases related to genes according to the sampling genes;
a user information acquisition module: the user information acquisition module is used for acquiring physiological indexes and flow information of a user;
a pushing module: the pushing module is used for pushing information comprehensively according to disease genetic risk, physiological indexes and flow information.
Further preferably, the pushing system comprises an expert terminal, and the expert terminal sends test paper pushing information to the test paper vending machine. The test paper recommendation information is sent to the test paper vending machine for recommendation of the user through inquiry of an expert end, and accuracy of test paper selection of the user is achieved.
Preferably, the expert terminal further comprises a pushing instruction of the nutritional health product sent to the vending machine terminal according to the inquiry result. The user can purchase the nutritional health products according to expert pushing.
Preferably, the sampling gene acquisition module is used for acquiring sampling genes, the sampling genes are acquired by samples collected by gene test paper, and the test paper is recovered by a vending machine.
Preferably, the disease determination module is configured to determine genetic risk of a disease associated with a gene according to the sampled gene, and analyze the sampled gene by using a gene sequencing technology to determine the genetic risk of the disease.
Preferably, the user information obtaining module is configured to obtain a physiological index and flow information of a user, where the flow information is used to collect browsing content of the user and analyze related content of the user with a high click rate. The physiological indexes comprise: heartbeat condition, sleep quality, number of athletic steps.
Preferably, the pushing module is used for pushing information comprehensively according to the disease genetic risk, the physiological indexes and the flow information. The information pushing process comprises the following steps: acquiring high-risk diseases; obtaining a symptom generating symptom set of the disease; matching the physiological index with the symptom set; if the matching is successful, early warning and related disease information recommendation are carried out; and if the matching is unsuccessful, comprehensively pushing the information.
Further preferably, the comprehensive information pushing includes: acquiring high-risk diseases, physiological indexes and browsing information; and calculating user preference according to the proportional weight of each piece of information, and recommending related articles and commodities.
A computer readable storage medium storing computer program instructions adapted to be loaded by a processor and to perform a method for pushing information for a fitness platform.
A mobile terminal comprises a processor and a memory, wherein the processor is used for executing a program stored in the memory so as to realize an information push method of a health platform.
Compared with the prior art, the invention has the beneficial effects that: the method can comprehensively carry out text pushing according to the genetic genes and the physiological indexes of the user and the browsing information of the user, and realize a more personalized article recommendation method. Providing better help for the user in terms of health. And the recommendation of related medicines and nutrients is carried out simultaneously in the process of pushing the text, so that the selection and purchase of users are facilitated. The invention also provides a health mall, which comprises an expert end, realizes on-line expert inquiry, and simultaneously comprises a vending machine, wherein the expert end sends a push instruction to the vending machine to realize the push of gene products and nutritional health products.
Drawings
The invention is further illustrated with reference to the following figures and examples.
Fig. 1 is a schematic flow chart of an information pushing method for a health platform according to the present invention;
fig. 2 is a structural diagram of an information push system of a health platform according to the present invention.
Detailed Description
The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic drawings and illustrate only the basic flow diagram of the invention, and therefore they show only the flow associated with the invention.
Example 1
As shown in fig. 1, the present invention is an information push method for a health platform, and the method specifically includes:
s1, acquiring a sampling gene;
s2, judging genetic risks of diseases related to genes according to the sampled genes;
s3, acquiring physiological indexes and flow information of a user;
and S4, comprehensively pushing information according to the disease genetic risk, the physiological indexes and the flow information.
Step S1: and obtaining a sampling gene, wherein the sampling gene is obtained by a sample collected by a gene test paper, and the test paper is recovered by a vending machine. The gene test paper is recovered by a vending machine, and the vending machine is used for vending gene products and nutritional health products.
Step S2: judging the genetic risk of the gene-related disease according to the sampled gene, wherein the genetic risk of the gene-related disease judged according to the sampled gene specifically comprises the following steps: analyzing the sampled gene by gene sequencing technology to judge the genetic risk of the disease. The gene sequencing is a novel gene detection technology, can analyze and determine the complete sequence of genes from blood or saliva, predicts the possibility of suffering from various diseases, and can lock individual pathological change genes to prevent and treat in advance.
Step S3: acquiring a physiological index and flow information of a user, preferably, the physiological index includes: heartbeat condition, sleep quality, number of athletic steps.
Step S4: and comprehensively pushing the information according to the genetic risk of the disease, the physiological indexes and the flow information. The comprehensive information pushing specifically comprises the following steps:
acquiring high-risk diseases;
obtaining a symptom generating symptom set of the disease;
matching the physiological index with the symptom set;
if the matching is successful, early warning and related disease information recommendation are carried out;
and if the matching is unsuccessful, comprehensively pushing the information.
The comprehensive information pushing comprises the following steps:
acquiring high-risk diseases, physiological indexes and browsing information;
and calculating user preference according to the proportional weight of each piece of information, and recommending related articles and commodities.
For example, the following steps are carried out:
when a user is found to have high genetic risk of liver cancer by analyzing genes of the user, the heartbeat index exceeds a normal value by collecting physiological indexes of the user, such as heartbeat, but actually, when the liver cancer is not necessarily connected with the heartbeat speed, high-risk diseases are obtained;
obtaining a symptom generating symptom set of the disease; matching the physiological index with the symptom set; at this time, the matching is unsuccessful, and when the matching is unsuccessful, information pushing is carried out comprehensively. The comprehensive recommendation process comprises the following steps: the method comprises the steps of obtaining flow information of a user, wherein the flow information is used for collecting daily browsing data of the user, analyzing click tendency of the user through the flow data, calculating user preference through the proportional weight of each piece of information, and recommending related articles and commodities.
The recommended information may be an article of the direction of prevention and control of the related disease, or a control and prevention drug for the related disease.
When a user is found to have a high genetic risk of heart diseases by analyzing genes of the user, the heart beat index exceeds a normal value by collecting physiological indexes of the user, such as heart beat, but actually, the heart diseases and the heart beat speed have certain relation, and at this time, the high risk diseases are obtained;
obtaining a symptom generating symptom set of the disease; matching the physiological index with the symptom set; and at the moment, early warning and related disease information recommendation are carried out for successful matching.
At the moment, the physiological indexes of the user are judged to be possibly related to the genetic diseases, and at the moment, the early warning is directly carried out on the user to play a role in prompting. Meanwhile, relevant articles or commodities related to heart care are pushed.
Example 2
As shown in fig. 2, the present invention provides an information pushing system of a health platform:
the sampling gene acquisition module 1: the sampling gene acquisition module is used for acquiring sampling genes;
the disease determination module 2: the disease judgment module is used for judging genetic risk of diseases related to genes according to the sampling genes;
the user information acquisition module 3: the user information acquisition module is used for acquiring physiological indexes and flow information of a user;
the pushing module 4: the pushing module is used for pushing information comprehensively according to disease genetic risk, physiological indexes and flow information.
The pushing system comprises an expert end, and the expert end sends test paper pushing information to the test paper vending machine.
The sampling gene acquisition module 1: the kit is used for obtaining a sampling gene, wherein the sampling gene is obtained by a sample collected by a gene test paper, and the test paper is recovered by a vending machine.
The disease judgment module 2: the method is used for judging the genetic risk of the diseases related to the genes according to the sampled genes, analyzing the sampled genes through a gene sequencing technology and judging the genetic risk of the diseases.
The user information obtaining module 3: the method and the device are used for acquiring physiological indexes and flow information of a user, wherein the flow information is used for acquiring browsing content of the user and analyzing related content with high click rate of the user. The physiological indexes comprise: heartbeat condition, sleep quality, number of athletic steps.
The push module 4: the method is used for comprehensively pushing information according to disease genetic risk, physiological indexes and flow information. The information pushing process comprises the following steps: acquiring high-risk diseases; obtaining a symptom generating symptom set of the disease; matching the physiological index with the symptom set; if the matching is successful, early warning and related disease information recommendation are carried out; and if the matching is unsuccessful, comprehensively pushing the information.
The comprehensive information pushing comprises the following steps: acquiring high-risk diseases, physiological indexes and browsing information; and calculating user preference according to the proportional weight of each piece of information, and recommending related articles and commodities.
For example, the following steps are carried out: when a user registers and checks in a health mall, the checking is performed through on-line expert inquiry, so that the span distance diagnosis is realized, the expert inquires the user through voice or video, the expert pushes the types of the test paper needed by the user to the test paper vending machine through the inquiry result, and the test paper vending machine pushes the test paper to the user after receiving the recommendation instruction. After purchasing the test paper, the user collects the gene. And after the collection is finished, putting the product back to the vending machine to wait for recovery analysis. The user can log in the platform to check the analysis condition of the gene. The expert terminal also comprises a pushing instruction of the nutritional health products sent to the vending machine terminal according to the inquiry result. The user can purchase the nutritional health products according to expert pushing, or the user can purchase the nutritional health products according to the analysis condition of the genes, so that the user can purchase the nutritional health products conveniently.
The invention also provides a computer readable storage medium, which stores computer program instructions, the program instructions are suitable for being loaded by a processor and executing the information pushing method of the health platform.
The invention also provides a mobile terminal which comprises a processor and a memory, wherein the processor is used for executing the program stored in the memory so as to realize the information push method of the health platform.
The above detailed description is specific to possible embodiments of the present invention, and the above embodiments are not intended to limit the scope of the present invention, and all equivalent implementations or modifications that do not depart from the scope of the present invention should be included in the present claims.
Claims (10)
1. An information pushing method for a health platform is characterized by comprising the following steps:
acquiring a sampling gene;
judging the genetic risk of the diseases related to the genes according to the sampled genes;
acquiring physiological indexes and flow information of a user;
and comprehensively pushing the information according to the genetic risk of the disease, the physiological indexes and the flow information.
2. The method as claimed in claim 1, wherein the gene sample is obtained from a sample collected by a gene strip, the gene strip is recovered by a vending machine, and the vending machine is used for vending gene products and nutritional health products.
3. The method for pushing information on a health platform according to claim 2, wherein the step of determining genetic risk of a disease associated with a gene based on a sampled gene is specifically as follows: analyzing the sampled gene by gene sequencing technology to judge the genetic risk of the disease.
4. The method of claim 1, wherein the physiological index comprises: heartbeat condition, sleep quality, number of athletic steps.
5. The information push method of a health platform according to claim 1, wherein the comprehensive information push specifically comprises:
acquiring high-risk diseases;
obtaining a symptom generating symptom set of the disease;
matching the physiological index with the symptom set;
if the matching is successful, early warning and related disease information recommendation are carried out;
and if the matching is unsuccessful, comprehensively pushing the information.
6. The method of claim 5, wherein the comprehensively pushing information comprises:
acquiring high-risk diseases, physiological indexes and browsing information;
and calculating user preference according to the proportional weight of each piece of information, and recommending related articles and commodities.
7. An information push system of a health platform, comprising:
a sampling gene acquisition module: the sampling gene acquisition module is used for acquiring sampling genes;
a disease determination module: the disease judgment module is used for judging genetic risk of diseases related to genes according to the sampling genes;
a user information acquisition module: the user information acquisition module is used for acquiring physiological indexes and flow information of a user;
a pushing module: the pushing module is used for pushing information comprehensively according to disease genetic risk, physiological indexes and flow information.
8. The information pushing system of the health platform as claimed in claim 7, wherein the pushing system comprises an expert terminal, and the expert terminal sends test paper pushing information to the vending machine.
9. A computer-readable storage medium, characterized in that it stores computer program instructions adapted to be loaded by a processor and to execute the method of any of claims 1 to 6.
10. A mobile terminal comprising a processor and a memory, the processor being configured to execute a program stored in the memory to implement the method of any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911060658.0A CN110808102A (en) | 2019-11-01 | 2019-11-01 | Information pushing method, system and terminal of health platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911060658.0A CN110808102A (en) | 2019-11-01 | 2019-11-01 | Information pushing method, system and terminal of health platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110808102A true CN110808102A (en) | 2020-02-18 |
Family
ID=69500905
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911060658.0A Pending CN110808102A (en) | 2019-11-01 | 2019-11-01 | Information pushing method, system and terminal of health platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110808102A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111477351A (en) * | 2020-05-07 | 2020-07-31 | 成都奇恩生物科技有限公司 | Remote medical specialist consultation system and method for genetic diseases |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120084092A1 (en) * | 2010-10-04 | 2012-04-05 | Kozuch Michael J | Method and apparatus for a comprehensive dynamic personal health record system |
| CN107133487A (en) * | 2017-06-21 | 2017-09-05 | 深圳市海威达信息技术有限公司 | A kind of disease prevention and cure method, device and disease prevention and cure system |
| CN107169307A (en) * | 2017-07-07 | 2017-09-15 | 中北大学 | Health risk assessment method and apparatus |
| US20170293737A1 (en) * | 2014-09-04 | 2017-10-12 | Your.Md As | Method and system for providing personalized intelligent health content based on a user profile |
| CN107767956A (en) * | 2017-10-27 | 2018-03-06 | 秦皇岛市惠斯安普医学系统股份有限公司 | A kind of health risk assessment and management method based on biological electricity induction technology |
| CN108766568A (en) * | 2018-04-19 | 2018-11-06 | 新绎健康科技（北京）有限公司 | A kind of disease risks automatic early warning method and system |
| CN109256213A (en) * | 2018-08-21 | 2019-01-22 | 四川靠谱健康管理有限公司 | A kind of health control method of combination genetic risk and environmental risk factors |
| WO2019070143A1 (en) * | 2017-10-03 | 2019-04-11 | Общество с ограниченной ответственностью "Атлас" | System and method for interpreting data and providing recommendations to a user based on his/her genetic data and on data related to the composition of his/her intestinal microbiota |
| JP6538222B1 (en) * | 2018-03-06 | 2019-07-03 | ヤフー株式会社 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM |
| CN110120263A (en) * | 2019-04-11 | 2019-08-13 | 周凡 | A kind of healthy auxiliary system for acquiring and analyzing based on health and fitness information |
-
2019
- 2019-11-01 CN CN201911060658.0A patent/CN110808102A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120084092A1 (en) * | 2010-10-04 | 2012-04-05 | Kozuch Michael J | Method and apparatus for a comprehensive dynamic personal health record system |
| US20170293737A1 (en) * | 2014-09-04 | 2017-10-12 | Your.Md As | Method and system for providing personalized intelligent health content based on a user profile |
| CN107133487A (en) * | 2017-06-21 | 2017-09-05 | 深圳市海威达信息技术有限公司 | A kind of disease prevention and cure method, device and disease prevention and cure system |
| CN107169307A (en) * | 2017-07-07 | 2017-09-15 | 中北大学 | Health risk assessment method and apparatus |
| WO2019070143A1 (en) * | 2017-10-03 | 2019-04-11 | Общество с ограниченной ответственностью "Атлас" | System and method for interpreting data and providing recommendations to a user based on his/her genetic data and on data related to the composition of his/her intestinal microbiota |
| CN107767956A (en) * | 2017-10-27 | 2018-03-06 | 秦皇岛市惠斯安普医学系统股份有限公司 | A kind of health risk assessment and management method based on biological electricity induction technology |
| JP6538222B1 (en) * | 2018-03-06 | 2019-07-03 | ヤフー株式会社 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM |
| CN108766568A (en) * | 2018-04-19 | 2018-11-06 | 新绎健康科技（北京）有限公司 | A kind of disease risks automatic early warning method and system |
| CN109256213A (en) * | 2018-08-21 | 2019-01-22 | 四川靠谱健康管理有限公司 | A kind of health control method of combination genetic risk and environmental risk factors |
| CN110120263A (en) * | 2019-04-11 | 2019-08-13 | 周凡 | A kind of healthy auxiliary system for acquiring and analyzing based on health and fitness information |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111477351A (en) * | 2020-05-07 | 2020-07-31 | 成都奇恩生物科技有限公司 | Remote medical specialist consultation system and method for genetic diseases |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Brady et al. | The HEART score: A guide to its application in the emergency department | |
| Chén et al. | Building a machine-learning framework to remotely assess Parkinson's disease using smartphones | |
| CN106650256A (en) | Precise medical platform for molecular diagnosis and treatment | |
| CA2655126A1 (en) | Systems and methods for analyzing and assessing dementia and dementia-type disorders | |
| WO2013066642A1 (en) | Automated personal medical diagnostic system, method, and arrangement | |
| Guidi et al. | A multi-layer monitoring system for clinical management of Congestive Heart Failure | |
| CN101785701B (en) | The device of information processing, method, equipment and reagent carrier | |
| Schildcrout et al. | An analytical approach to characterize morbidity profile dissimilarity between distinct cohorts using electronic medical records | |
| CN103250157A (en) | Updatability of structured blood glucose tests on handheld diabetes management devices | |
| CN112786203A (en) | Machine learning diabetic retinopathy morbidity risk prediction method and application | |
| Ben-Assuli | Measuring the cost-effectiveness of using telehealth for diabetes management: a narrative review of methods and findings | |
| CN113077875A (en) | CT image processing method and device | |
| CN114121266A (en) | Intelligent auxiliary diagnosis method and system | |
| CN106166073A (en) | A kind of Mood State self-appraisal system based on electronization POMS Self-assessment Scale | |
| CN110808102A (en) | Information pushing method, system and terminal of health platform | |
| CN116864062B (en) | Health physical examination report data analysis management system based on Internet | |
| CN109920529A (en) | Health data collection apparatus and method based on health monitoring all-in-one machine | |
| JP2011134106A (en) | Medical information collection system, medical information collection processing method and display control method for medical information collection screen | |
| CN111816307A (en) | Method for constructing Chinese population biological age evaluation model based on clinical marker and evaluation method | |
| CN108784666B (en) | Accurate medical system for continuously monitoring cardiovascular and data processing method | |
| WO2019131256A1 (en) | Device, method, and program for processing information | |
| JP4729444B2 (en) | Health guidance support system | |
| Kalina et al. | System for selecting relevant information for decision support. | |
| CN114678126A (en) | Disease tracking and predicting system | |
| US20100211404A1 (en) | Methods and Systems for Real-Time RRi Values PD2i of Heartbeat Intervals |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination |