CN109887602A - A kind of cardiovascular disease big data analysis system and method - Google Patents
A kind of cardiovascular disease big data analysis system and method Download PDFInfo
- Publication number
- CN109887602A CN109887602A CN201910063151.4A CN201910063151A CN109887602A CN 109887602 A CN109887602 A CN 109887602A CN 201910063151 A CN201910063151 A CN 201910063151A CN 109887602 A CN109887602 A CN 109887602A
- Authority
- CN
- China
- Prior art keywords
- physical examination
- user
- data
- cardiovascular disease
- web
- 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.)
- Withdrawn
Links
Landscapes
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The present invention discloses a kind of cardiovascular disease big data analysis system, the system uses B/S framework, including user interface, web application server and database server based on web, it is described that operation requests are sent to the web application server based on the user interface of web, and receive the operation requests response data of the web application server, display operation request response data；The web application server receives the operation requests of the user interface based on web, and accesses the database server based on Hibernate frame and receive the operating result that the database server returns；The web application server also receives the physical examination data uploaded by the user interface based on web and user's body situation self-appraisal data corresponding with time physical examination data are worked as, and physical examination data and user's body situation self-appraisal data to upload carry out big data analysis and obtain Disease Warning Mechanism conclusion.Invention additionally discloses a kind of cardiovascular disease big data analysis methods.
Description
Technical field
The invention belongs to javaweb development technique fields in data analysis in statistics and software development, are related to physical examination
Information management and javaweb exploitation, specially a kind of cardiovascular disease big data analysis system and method.
Background technique
The basic medical treatment data volume of China is huge, and the clinic diagnosis level of cardiovascular doctor is also improving rapidly, but just faces
For the achievement of bed scientific research, the application of clinical data, there are also gaps with advanced international standard.Therefore to these clinical big datas into
The hand-manipulating of needle seems extremely important with clinical application to effective excavation of major disease.With the raising of people's daily life level, entirely
State's cardiovascular disease number of patients has been approached 21%, and cardiovascular disease is all the more serious to the threat of life, is that China resident is most main
The cause of death wanted.Therefore, for statistical analysis to cardiovascular disease data, giving warning in advance, it is very important.
Data analysis refer to statistical analysis technique appropriate to collect come mass data analyze, extract useful letter
Breath and formed conclusion and to data be subject in detail research and summary process.This process is also the branch of quality management system
Hold process.In practical, data analysis can help people to judge, to take appropriate action.The mathematics base of data analysis
Plinth has just been established in early stage in 20th century, but until the appearance of computer just makes it possible practical operation, and data are divided
Analysis is promoted.Data analysis is the product that mathematical and computer sciences combine.JavaWeb i.e. J2EE, JavaWeb master
If solving the technology summation of related web internet area using various Java enterprise-level technologies.Java is in server end
It is enriched using unusual, such as Servlet, JSP and third square bearer etc., existing Web page system is mostly by Javaweb reality
It is existing.
The Chinese patent of publication number CN109102848A discloses a kind of electrocardiogram (ECG) data management system based on web, including
User interface based on web, the server for having data mining capability and electrocardiogram (ECG) data uploading device, it is described to be based on web
User interface to have data mining capability server send operation requests, and receive have data mining capability
The operation requests response data of server, display operation request response data；The server for having data mining capability connects
It receives the operation requests of the user interface based on web and responds the operation requests；The service for having data mining capability
Device also receives the electrocardiogram (ECG) data of electrocardiogram (ECG) data uploading device upload, carries out data mining to the electrocardiogram data information of upload and is divided
Diagnosis is analysed, the electrocardiogram (ECG) data for realizing user's upload is based on data mining and obtains more accurate cardiac diagnosis conclusion, realizes
User can be managed by electrocardio archives of the web front-end to itself.The system electrocardiogram (ECG) data of user is managed and
It excavates, mainly solves the problems, such as to obtain accurate cardiac diagnosis conclusion based on electrocardiogram (ECG) data, do not account for based on user
Human body examines information and carries out Disease Warning Mechanism.
The Chinese patent of publication number CN108922623A discloses a kind of health risk assessment and Disease Warning Mechanism information system,
The system includes worker health management system and personal health systems；Worker health management system includes worker's Basic Information Management
11 modules such as module, worker health data acquisition module, worker health questionnaire management module；Personal health systems by
Ordinary user registers submodule, personal information management submodule, personal health history management submodule, routine health and monitors submodule
Block, medical treatment, which are lain up, manages submodule, health survey questionnaire submodule, annual health examination submodule, health Evaluation submodule
Block, disease risks assessment submodule, health promotion management submodule, health consultation forum submodule composition.Health of the invention
Risk assessment and Disease Warning Mechanism information system form health control, health risk assessment and health risk intervention control one
Change Network Management Model.The system when carrying out disease condition early warning, be according to physical examination data, major chronic disease registration data,
Questionnaire data carry out disease condition early warning based on assessment models algorithms library, in the process, do not account for using
, to the personal evaluation of own bodies situation, not by each physical examination data and work as secondary individual subscriber body in each physical examination in family
Status evaluation combines to carry out disease condition assessment early warning, and there is a certain error for disease condition early warning result.
Accordingly, it is desirable to provide a kind of system and method, it not only can be for statistical analysis to physical examination data, with visual
Mode shows, and personnel's progress early warning that can more accurately to physical condition exception is checked, informs medical examiner itself
Health status makes preparation early, further to check.
Summary of the invention
In response to the problems existing in the prior art, the purpose of the present invention is to provide a kind of cardiovascular disease big data analysis systems
And method, the personal physical condition evaluation of physical examination information and user based on user when secondary physical examination, in conjunction with big data analysis
The early warning of cardiovascular disease is carried out, with strong points, early warning result is accurate.
To achieve the above object, the technical solution adopted by the present invention is that:
A kind of cardiovascular disease big data analysis system, the system use B/S framework, hand over including the user based on web
Mutual interface, web application server and database server, it is described based on the user interface of web to the web application service
Device sends operation requests, and receives the operation requests response data of the web application server, and display operation requests number of responses
According to；The web application server receives the operation requests of the user interface based on web, and is visited based on Hibernate frame
It asks the database server and receives the operating result that the database server returns；The web application server is also
Receive the physical examination data uploaded by the user interface based on web and user's body corresponding with time physical examination data are worked as
Situation self-appraisal data, physical examination data and user's body situation self-appraisal data to upload carry out big data analysis and obtain Disease Warning Mechanism
Conclusion.
Preferably, the user's body situation self-appraisal data include five grades, and grade 1 to 2 is set as unhealthy grade,
Grade 3 to 5 is set as Health Category, based on the crowd in Health Category, according to the law of large numbers and central-limit theorem,
To 95% confidence interval of physical examination Index Establishment each in physical examination data.
Preferably, the physical examination data that the user interface by described based on web uploads include multiple physical examination projects, often
A physical examination project is corresponding with physical examination index, when the physical examination index is in the confidence interval, then judges the physical examination index
Corresponding physical examination project be it is normal, be otherwise denoted as exception.
Preferably, the web application server is recorded to abnormal physical examination index is denoted as, and record result is sent
To user.
Preferably, information management system for physical examination, the information management system for physical examination packet are equipped in the web application server
Include physical examination user management module, physical examination result management module, physical examination project management module and statistical analysis module.
Preferably, the user of the information management system for physical examination includes: administrator, authorized user, physical examination user.
Preferably, the operating right of the administrator includes: to system information, functional module, physical examination user information, authorization
Increase, deletion, modification and the inquiry of user information.
Preferably, the operating right of the authorized user include: to system information, physical examination project, physical examination result increase,
It deletes, modify and inquires；Inquiry to physical examination user information and statistic analysis result.
Preferably, the operating right of the physical examination user includes: to look into system information, personal information and physical examination result
It askes.
A kind of cardiovascular disease big data analysis method, the method use above-mentioned system to realize, the method includes
Following steps:
Step 1, cardiovascular disease big data analysis system platform is established using B/S framework；
Step 2, the physical examination data of user and user's body situation self-appraisal data corresponding with time physical examination data are worked as are obtained；
Step 3, the user's body situation self-appraisal data based on acquisition establish 95% confidence interval of each physical examination index；
Step 4, the real-time physical examination index in physical examination data is matched with 95% confidence interval of each physical examination index, if
In confidence interval, then it is normal index, is otherwise denoted as abnormal index；
Step 5, abnormal index record result is sent to user, healthy early warning is carried out to user.
Compared with prior art, the beneficial effects of the present invention are: 1) the present invention is based on the physical examination information of user and user to exist
Personal physical condition evaluation when secondary physical examination, the early warning of cardiovascular disease is carried out in conjunction with big data analysis, is fully considered
Real-time physical condition of the physical examination user when checking UP, it is stronger hence for the specific aim of the early warning analysis of cardiovascular disease,
Early warning result is more acurrate；2) present invention not only can be for statistical analysis to physical examination data, is showed in a manner of visual, and
Can more accurately to check physical condition exception personnel carry out early warning, inform medical examiner's self health status, early
Preparation is made, it is further to check.
Detailed description of the invention
Fig. 1 is system frame structure schematic diagram of the invention；
Fig. 2 is the structural schematic diagram of information management system for physical examination of the invention；
Fig. 3 is the calculating schematic diagram of confidence interval；
Fig. 4 is the normal interval histogram according to embodiment；
Fig. 5 is the abnormal number histogram according to embodiment；
Fig. 6 is cardiovascular disease people at highest risk's tendency chart according to embodiment.
Specific embodiment
Below in conjunction with the attached drawing in the present invention, technical solution of the present invention is clearly and completely described, it is clear that
Described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Based on the implementation in the present invention
Example, those of ordinary skill in the art's all other embodiment obtained under the conditions of not making creative work belong to
The scope of protection of the invention.
As shown in Figure 1, a kind of cardiovascular disease big data analysis system, the system uses B/S framework, including is based on
User interface, web application server and the database server of web, it is described based on the user interface of web to described
Web application server sends operation requests, and receives the operation requests response data of the web application server, display operation
Request response data；The web application server receives the operation requests of the user interface based on web, and is based on
Hibernate frame accesses the database server and receives the operating result that the database server returns；It is described
Web application server also receive the physical examination data that the user interface by described based on web uploads and with when time physical examination number
According to corresponding user's body situation self-appraisal data, physical examination data and user's body situation self-appraisal data to upload carry out big data
Analysis obtains Disease Warning Mechanism conclusion.
The design layout of system of the invention using B/S framework, that is, browser and server framework.By browsing
Device provides, and receives the various operation informations of user's input, sends various operational orders and request of data to server end, and receive
The data result returned after executing instruction carries out relevant operation according to service logic, and most rear line shows relevant information.Clothes
Business device is responsible for the data or command request of browser end, and database manipulation performed by database server obtains a data set,
Corresponding processing is carried out to the data set, then data set or treated that data set sends browser end to.
Specifically, IE browser etc. can be selected in the user interface based on web.The web application server is adopted
It is realized with Tomcat.Tomcat server carries out data interaction using Hibernate frame and database server.
As an implementation, five grades are set by user's body situation self-appraisal data, wherein by grade 1 to 2
It is set as unhealthy grade, grade 3 to 5 is set as Health Category, based on the crowd in Health Category, according to the law of large numbers
And central-limit theorem, to 95% confidence interval of physical examination Index Establishment each in physical examination data.After establishing confidence interval, for logical
The matching that the physical examination data that the user interface based on web uploads carry out confidence interval and real-time indicators data is crossed, is used
A physical examination data at family include multiple physical examination projects, and each physical examination project is corresponding with physical examination index, at the physical examination index
In in the confidence interval, then judge the corresponding physical examination project of the physical examination index be it is normal, be otherwise denoted as exception.Also, institute
State web application server and recorded to abnormal physical examination index is denoted as, then will record result be sent to user, to user into
Row healthy early warning reminds the abnormal index in user's physical examination data, establishes user and further checked.
For physical examination user, user information represents the identity of a physical examination user, such as essential information (surname
Name, gender, identification card number), the physical examination time of physical examination user, physical examination result situations such as, the physical examination result of a physical examination user
Representative health condition is vital.Therefore, to the management of user's physical examination information must it is tight, concentrate and in time.And
With popularizing for health examination, physical examination user number increases sharply increasingly, and physical examination information management is also just particularly important.It needs simultaneously
Group of people at high risk's tendency chart (such as coronary heart disease) is made to analyze, therefore the automatic management of system just seems and is highly desirable.
Subscriber information management mainly includes the essential information of physical examination user, physical examination result, physical examination project management.If manual operation arranges
These data are to waste time very much and human resources, while the later period is also unfavorable for managing.It so develops with integrality
Can be convenient, prepare with systematic information management system for physical examination, quickly grasp physical examination user health status and in time to
User's early warning.For this purpose, the present invention is equipped with information management system for physical examination in the web application server, as shown in Figure 2.
As a kind of embodiment, the information management system for physical examination includes physical examination user management module, physical examination result pipe
Manage module, physical examination project management module and statistical analysis module.The user of the information management system for physical examination includes: management
Member, authorized user, physical examination user.The operating right of every class user is different, and is divided according to different user grade.Management
Member has the permission of system administration, subscriber information management and managing functional module, i.e., to system information, functional module, Yong Huxin
Cease the permission for being increased, deleted, modifying and being inquired.Authorized user has physical examination subscriber information management, physical examination result management, body
Examine the permission of project management, i.e., to system information, physical examination project, the increase of physical examination result, deletion, modification and search access right, with
And the search access right to physical examination user information and statistic analysis result.Physical examination user has physical examination result and physical examination project query
Permission, and the permission inquired with system information, personal information.
For the safety operation of system and the management of physical examination information, the user of each grade requires to carry out authentication
Into system, but internal system is open only for administrator, and internal management will also be completed with maintenance by administrator, and only be managed
Reason person has the right to change system information.For information management system for physical examination, data management and check it is critically important, different brackets
User can only check or change a part of data.For administrator, there is no limit permission, administrators for the change of data
There are all permissions as power user, authorized user has change permission to partial results and information according to identity difference.?
When administrator is managed system, it can add, revise user, user is authorized, and to system information and function
It modifies, and physical examination user, itself relevant information can be inquired, cannot check others' information, the letter of oneself can not be modified
Breath.
As an implementation, the present invention also provides a kind of cardiovascular disease big data analysis method, the method is adopted
It is realized, be the described method comprises the following steps with above-mentioned system:
Step 1, cardiovascular disease big data analysis system platform is established using B/S framework；
Step 2, the physical examination data of user and user's body situation self-appraisal data corresponding with time physical examination data are worked as are obtained；
Step 3, the user's body situation self-appraisal data based on acquisition establish 95% confidence interval of each physical examination index；
Step 4, the real-time physical examination index in physical examination data is matched with 95% confidence interval of each physical examination index, if
In confidence interval, then it is normal index, is otherwise denoted as abnormal index；
Step 5, abnormal index record result is sent to user, healthy early warning is carried out to user.
Embodiment
The present embodiment is based on physical examination data and user's body situation corresponding with time physical examination data are worked as certainly by taking coronary heart disease as an example
It comments data to carry out big data analysis, healthy early warning is carried out to user's body.
1, cardiovascular disease big data analysis system platform is established using B/S framework.Physical examination message tube is set in platform
Reason system, the system include physical examination user management module, physical examination result management module, physical examination project management module and statistical analysis
Module.The physical examination user management module is grading authorized to user's progress of the information management system for physical examination, specifically: pipe
Reason person, authorized user, physical examination user.Administrator, which has, believes system information, functional module, physical examination user information, authorized user
The permission of increase, deletion, modification and the inquiry of breath；Authorized user has the increasing to system information, physical examination project, physical examination result
The permission for adding, delete, modifying and inquiring, and to the permission that physical examination user information and statistic analysis result are inquired；Physical examination user
With the search access right to system information, personal information and physical examination result.
2, the system platform is logged in, administrator or authorized user establish corresponding by the physical examination project management module
Physical examination project, specifically includes: blood pressure (systolic pressure, diastolic pressure), body mass index, total cholesterol, low density lipoprotein cholesterol, height
Density lipoprotein-cholesterol, triglycerides and fasting blood-glucose.
3, physical examination user logs in the system platform, uploads physical examination data and user's body corresponding with time physical examination data are worked as
Situation self-appraisal data are to the statistical analysis module.The statistical analysis module to user's body situation self-appraisal data at
Reason, sets five grades for user's body situation self-appraisal data, wherein grade 1 to 2 is set as unhealthy grade, by grade 3
It is set as Health Category to 5, based on the crowd in Health Category, according to the law of large numbers and central-limit theorem, to physical examination
Each 95% confidence interval of physical examination Index Establishment in data, the confidence interval are the normal interval of corresponding index.Index value exists
It is normally, to be otherwise denoted as exceptional value in section.
Specifically, according to the law of large numbers and central-limit theorem, M is obeyed:
Therefore, can calculate withμCentered on, the section that area S is 0.95, as shown in figure 3, i.e.
In the present embodiment, σ=2/3, n=1000.By taking blood pressure diastolic pressure as an example, the diastolic pressure of user is in normal interval
Situation is as shown in figure 4, the minimum value and maximum value of diastolic pressure are respectively 59 and 90；It is observed by what histogram can be apparent
The bound of normal interval.The situation that the diastolic pressure of user is in abnormal is as shown in Figure 5, wherein total number of representatives evidence on the right side of figure
Amount, and left side is then the quantity for representing exceptional value.
Further, the statistical analysis module also carries out fundamental analysis to physical examination data, generates and is convenient for visualized operation
Statistical analysis figure, visually show index maximum value, minimum value and mean value.By index sample systolic pressure, diastolic pressure,
Body mass index, total cholesterol, low density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, fasting blood-glucose } it sets
For { x1, x2 ..., x8 }, xmax=x1 is remembered, if xmax > x2, xmax=xmax, otherwise xmax=x2, is successively carried out, Zhi Daosuo
There is data traversal to terminate, xmax is the index maximum value；Remember xmin=x1, if xmin < x2, xmin=xmin, otherwise xmin
=x2 is successively carried out, and until all data traversals terminate, xmin is the index minimum value；Note xbar=(x1+x2+ ...+
Xn)/n is the index average.Physical examination data based on browser in the form of statisticalling analyze figure being visualized, most
Big value, minimum value and mean value visualize on figure, meanwhile, the visualized graphs of browser-presented can also be rolled over
The functions such as line chart/histogram switching, Data View, picture preservation, area zoom and reduction.
Step 4, the exceptional value that the physical examination result management module counts the statistical analysis module records, by body
It is marked in inspection result with the abnormal data in the close eight point date of coronary heart disease, as long as there have an index to occur to be abnormal
It is denoted as coronary heart disease group of people at high risk, is made using month as horizontal axis, group of people at high risk's number is the tendency chart of the longitudinal axis, and makes respectively each
The line chart of group of people at high risk's number in year, as shown in fig. 6, horizontal axis is month, three lines respectively represent 2016 to 2018 numbers
According to.For the user of physical examination Indexes Abnormality, the physical examination result management module sends healthy early warning mail, carries out health to user
It reminds.
The present invention increases New Set in physical examination, to obtain the normal interval of healthy population, is not limited to the tradition of index
Normal interval；And it obtains targetedly to find the problem and advising after group of people at high risk's tendency chart of certain disease.In addition,
The present invention also provides reference for other relevant issues in same domain, can carry out expansion extension on this basis, apply to
In same domain in other diseases or the technical solution of case study, there is very wide application prospect.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (10)
1. a kind of cardiovascular disease big data analysis system, which is characterized in that the system uses B/S framework, including is based on web
User interface, web application server and database server, it is described based on the user interface of web to the web
Application server sends operation requests, and receives the operation requests response data of the web application server, display operation request
Response data；The web application server receives the operation requests of the user interface based on web, and is based on Hibernate
Frame accesses the database server and receives the operating result that the database server returns；The web application clothes
Business device also receives the physical examination data uploaded by the user interface based on web and use corresponding with time physical examination data are worked as
Family physical condition self-appraisal data, physical examination data and user's body situation self-appraisal data to upload carry out big data analysis and obtain disease
Sick early warning conclusion.
2. a kind of cardiovascular disease big data analysis system according to claim 1, which is characterized in that the user's body
Situation self-appraisal data include five grades, and grade 1 to 2 is set as unhealthy grade, grade 3 to 5 is set as Health Category, with place
Based on the crowd of Health Category, according to the law of large numbers and central-limit theorem, to physical examination Index Establishment each in physical examination data
95% confidence interval.
3. a kind of cardiovascular disease big data analysis system according to claim 2, which is characterized in that be based on by described
The physical examination data that the user interface of web uploads include multiple physical examination projects, and each physical examination project is corresponding with physical examination index, when
The physical examination index is in the confidence interval, then judge the corresponding physical examination project of the physical examination index be it is normal, otherwise remember
For exception.
4. a kind of cardiovascular disease big data analysis system according to claim 3, which is characterized in that the web application
Server is recorded to abnormal physical examination index is denoted as, and record result is sent to user.
5. a kind of cardiovascular disease big data analysis system according to claim 1, which is characterized in that the web application
Information management system for physical examination is equipped in server, the information management system for physical examination includes physical examination user management module, physical examination knot
Fruit management module, physical examination project management module and statistical analysis module.
6. a kind of cardiovascular disease big data analysis system according to claim 5, which is characterized in that the physical examination information
The user of management system includes: administrator, authorized user, physical examination user.
7. a kind of cardiovascular disease big data analysis system according to claim 6, which is characterized in that the administrator's
Operating right include: to system information, functional module, physical examination user information, the increase of authorization user information, deletion, modification and
Inquiry.
8. a kind of cardiovascular disease big data analysis system according to claim 6, which is characterized in that the authorized user
Operating right include: to system information, physical examination project, the increase of physical examination result, deletion, modification and inquiry；To physical examination user
The inquiry of information and statistic analysis result.
9. a kind of cardiovascular disease big data analysis system according to claim 6, which is characterized in that the physical examination user
Operating right include: inquiry to system information, personal information and physical examination result.
10. a kind of cardiovascular disease big data analysis method, the method is using as claimed in any one of claims 1-9 wherein
System is realized, which is characterized in that the described method comprises the following steps:
Step 1, cardiovascular disease big data analysis system platform is established using B/S framework；
Step 2, the physical examination data of user and user's body situation self-appraisal data corresponding with time physical examination data are worked as are obtained；
Step 3, the user's body situation self-appraisal data based on acquisition establish 95% confidence interval of each physical examination index；
Step 4, the real-time physical examination index in physical examination data is matched with 95% confidence interval of each physical examination index, if being in
In confidence interval, then it is normal index, is otherwise denoted as abnormal index；
Step 5, abnormal index record result is sent to user, healthy early warning is carried out to user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910063151.4A CN109887602A (en) | 2019-01-23 | 2019-01-23 | A kind of cardiovascular disease big data analysis system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910063151.4A CN109887602A (en) | 2019-01-23 | 2019-01-23 | A kind of cardiovascular disease big data analysis system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109887602A true CN109887602A (en) | 2019-06-14 |
Family
ID=66926675
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910063151.4A Withdrawn CN109887602A (en) | 2019-01-23 | 2019-01-23 | A kind of cardiovascular disease big data analysis system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109887602A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113223725A (en) * | 2021-04-23 | 2021-08-06 | 武汉大学 | Medical data application visualization page display system and method |
| CN114300134A (en) * | 2021-12-14 | 2022-04-08 | 中南大学 | User health condition detection method and device, terminal and readable storage medium |
-
2019
- 2019-01-23 CN CN201910063151.4A patent/CN109887602A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113223725A (en) * | 2021-04-23 | 2021-08-06 | 武汉大学 | Medical data application visualization page display system and method |
| CN114300134A (en) * | 2021-12-14 | 2022-04-08 | 中南大学 | User health condition detection method and device, terminal and readable storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Bleich et al. | Reflections on electronic medical records: when doctors will use them and when they will not | |
| CN104036445A (en) | Intelligent medical treatment personalization recommendation system and implementation method thereof | |
| US10262758B2 (en) | Scoring, evaluation, and feedback related to EMS clinical and operational performance | |
| US20080033758A1 (en) | Evidence-based outcomes system | |
| DE102007026802A1 (en) | Electronic medical data searching method for patient, involves executing search of medical data based on search criteria to create pool of potential study participants, and outputting pool of potential study participants | |
| DE102007026799A1 (en) | Systems and methods for refining the identification of candidates for clinical trials | |
| JP2005505817A (en) | A system to support clinical judgment by modeling the collected patient medical information | |
| Mastal et al. | Ambulatory care nurse-sensitive indicators series: Capturing the role of nursing in ambulatory care-the case for meaningful nurse-sensitive measurement | |
| US20140222461A1 (en) | Machines, Computer-Implemented Methods and Computer Media Having Computer Programs for Clinical Data Integration | |
| DE112012006037T5 (en) | Biological information distribution server, program and medical support system using it | |
| CN106919804A (en) | Medicine based on clinical data recommends method, recommendation apparatus and server | |
| CN109887602A (en) | A kind of cardiovascular disease big data analysis system and method | |
| US20160253459A1 (en) | Method and system for collecting, storing and analyzing clinical and radiologic data | |
| CN112735607A (en) | Full-datamation rare disease case library and MDT discussion platform | |
| James et al. | A telematic system for oncology based on electronic health and patient records | |
| CN107066816A (en) | Medical treatment guidance method, device and server based on clinical data | |
| CN115171895A (en) | Intelligent dynamic mental health assessment method | |
| Ren et al. | AI-based multimodal data management and intelligent analysis system for Parkinson's disease: GYENNO PD CIS | |
| KR102700952B1 (en) | Remote Worker Management Server | |
| Hu et al. | A Knowledge Management System for the Variation in Regional Clinical Pathways of Traditional Chinese Medicine Based on Smart Cloud Services. | |
| Kurniawan | Knowledge Management Model for Hospital: A Case Study Approach: Focus on Knowledge Gathering Process | |
| Inayah et al. | IoT-Based Medical Health Monitoring System with a Web Interface | |
| Zafar et al. | Telemedicine for Nephrology Outpatient Care in a Large Integrated Health System During the COVID-19 Pandemic: PO0858 | |
| Robinson | How the COVID-19 Pandemic Sparked Change: What Will Be the “New Normal” in Physician Practices and Patient Care?: PO0856 | |
| Ledoux et al. | Resource Utilization and Provision of In-Hospital Dialysis in an Academic Hospital in New Orleans During the COVID-19 Pandemic: PO0857 |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20190614 |
|
| WW01 | Invention patent application withdrawn after publication |