CN104715013A - Hadoop-based user health data analysis method and system - Google Patents
Hadoop-based user health data analysis method and system Download PDFInfo
- Publication number
- CN104715013A CN104715013A CN201510038173.7A CN201510038173A CN104715013A CN 104715013 A CN104715013 A CN 104715013A CN 201510038173 A CN201510038173 A CN 201510038173A CN 104715013 A CN104715013 A CN 104715013A
- Authority
- CN
- China
- Prior art keywords
- data
- hadoop
- health
- module
- user
- 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
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/1737—Details of further file system functions for reducing power consumption or coping with limited storage space, e.g. in mobile devices
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/18—File system types
- G06F16/182—Distributed file systems
Abstract
The invention discloses a Hadoop-based user health data analysis method and system. The system comprises a personal basic health information management module, a personal body measurement data management module, a statistic analysis module, a data mining module and a distributed type storage module. A Hadoop platform is introduced on a service logic layer to process and analyze big data, an interface for HBase operation is provided on a data access layer, and efficient and persistent storage of data is achieved through HBase. When the health big data are processed, a correlation analysis data mining mode is mainly adopted, and the improved MapReduce-based Apriori algorithm is used. The Hadoop distributed processing platform is introduced on the service logic layer, and the processing speed of the health data is greatly improved. Correlation analysis is carried out through the MapReduce-based Apriori algorithm, and health advices and early warning can be provided for users in time. On the aspect of data storage, the HBase is adopted and suitable for the characteristics of diversification and rarefaction of the health data, the space needed by data storage is greatly reduced, and persistent storage of the big data is facilitated.
Description
Technical field
The present invention relates to distributed treatment and the Data Mining of large data, particularly a kind of user health data analysing method based on Hadoop and system.
Technical background
Since entering 21st century, China's all our undertakings obtain swift and violent development, be no matter industry, agricultural and scientific and technical in, all achieve achievement highly visible, living standards of the people improve constantly.But under the background of such great development, the long-standing problem in medical treatment & health field is not well solved, but more serious.Particularly to its produce magnanimity health data effective process aspect and provide good service aspect for diversified health and fitness information for user, all there is concrete application bottleneck.For data a large amount of like this, storage that often can not be efficiently permanent to it, say nothing of and carry out effectively processing excavating useful information, a large amount of " precious deposits " that contain in health data are dropped like this.Effective process is carried out to the large data of medical treatment & health and has become one of key that I crosses medical system reform.
On the other hand, large data, as the popular domain of research both at home and abroad recently, obtain the attention of more and more colleges and universities and enterprise.Hadoop is wherein the largest data processing platform (DPP).But except Hadoop is specifically applied on himself enterprise's business software platform by such large enterprises such as Google, IMB, Alibaba, other field just seems quite deficient to the application of Hadoop.Especially for the medical treatment & health field that the people's livelihood is closely bound up, the embody rule of the large data processing technique of Hadoop is adopted still to be in the starting stage.Although there are some theoretical researches, lack concrete application and realize, more nobody utilizes the large data processing platform (DPP) of Hadoop to provide concrete health service for user.
To sum up 2 points, the health data of magnanimity can not get effectively process and application, and the large data processing technique for health service field does not have concrete realization.Therefore, how effectively to store healthy large data, and adopt large data processing technique such as Hadoop effectively to process it, and data mining can be carried out for user's request and provide corresponding service for user, become a difficult problem for the specific implementation under an emerging technology research direction.And the present invention can solve problem above well.
Summary of the invention
The object of the invention is to solve above-mentioned the deficiencies in the prior art, provide a kind of user health data analysing method based on Hadoop and system, the Business Logic of this system introduces Hadoop distributed processing platform, substantially increases the processing speed of health data.
The present invention solves the technical scheme that its technical matters takes: a kind of user health data analysing method based on Hadoop, the method comprises the steps:
Step 1: user health service routine calls Hadoop platform after receiving the process request of large data, starts MapReduce programming framework and carries out distributed treatment to the large data collected.
Step 2:MapReduce program obtains the magnanimity health data stored from HDFS, and the resource of required by task carries out Data Analysis Services.
Step 3: by the net result after excessive Data Analysis Services stored in HBase.
Step 4: user service directly searches the information needed for oneself according to user's request from HBase, and play up through webpage and just can present to client.
The present invention adopts to carry out association analysis based on the Apriori method of MapReduce, can in time for user provides Health & Fitness Tip and early warning.Data storage of the present invention adopts HBase, is applicable to the feature of health data variation, rarefaction.
Present invention also offers a kind of user health data analysis system based on Hadoop, this system comprises: individual basic health information management module, individual body examination data management module, statistical analysis module, data-mining module, distributed storage module.Described distributed storage module in charge backstage stores; The basic health information management module of individual and individual body examination data management module are used for back-end data to carry out foreground displaying; Statistical analysis module and data-mining module carry out Treatment Analysis to the data that backstage stores.
The function that present system module is concrete comprises:
The function of the basic health information management module of individual is: effectively store the essential information of individual and show.
The function of individual's body examination data management module is: effectively store the body examination data of individual and show.
The function of statistical analysis module is: to basic health data and the body examination data of individual, provide polytype function of statistic analysis.
The function of data-mining module is: carry out association analysis by the information such as body examination data, eating habit, health, passing medical history of data mining algorithm to user, find Strong association rule wherein, for user provides medical treatment & health to advise.
The function of distributed storage module is: the effect playing a distributed backstage memory function.
The software frame of present system comprises presentation layer, Business Logic and data access layer, introduce Hadoop platform at Business Logic and Treatment Analysis is carried out to large data, and provide the interface to HBase operation at data access layer, adopt HBase can carry out high-efficient and lasting storage to data.
The Business Logic of present system software frame provides MapReduce Processing Interface, and the business for large data processing is directly called Hadoop cluster and carried out data processing.
The present invention is directed to magnanimity health data, the design philosophy that employing business is separated with display, the different demands for user provide the health service of customization.
Beneficial effect:
1, Business Logic of the present invention introduces Hadoop distributed processing platform, substantially increases the processing speed of health data.
2, the present invention adopts and carries out association analysis based on the Apriori method of MapReduce, can in time for user provides Health & Fitness Tip and early warning.
3. the realization of system module that the design of the present invention on system framework can be correlated with for large data processing provides
Basis.
4, data storage of the present invention adopts HBase, is applicable to the feature of health data variation, rarefaction, and greatly reduce the space needed for data storage, is convenient to the persistent storage of large data.
Accompanying drawing explanation
Fig. 1 is method flow diagram of the present invention.
Fig. 2 is the three structure's module schematic diagram after the present invention improves.
Fig. 3 is the structural representation of present system.
Embodiment
Below in conjunction with Figure of description, the invention is described in further detail.
As shown in Figure 1, the invention provides a kind of user health data analysing method based on Hadoop, the method comprises the steps:
Step 1: user health service routine calls Hadoop platform after receiving the process request of large data, starts MapReduce programming framework and carries out distributed treatment to the large data collected.
Step 2:MapReduce program obtains the magnanimity health data stored from HDFS, and the resource of required by task (input division, configuration information, jar bag etc.).Then carry out local computing, the Block namely at data place performs map task.
Step 3: to the output data of map after shuffle, according to different key, the intermediate result of map is distributed to different reduce tasks, and net result reduce task exported is stored in HBase.
Step 4: user service directly searches the information needed for oneself according to user's request from HBase, and play up through webpage and just can present to client.
The present invention adopts to carry out association analysis based on the Apriori method of MapReduce, can in time for user provides Health & Fitness Tip and early warning.
Data storage of the present invention adopts HBase, is applicable to the feature of health data variation, rarefaction.
As shown in Figure 2, present invention also offers a kind of user health data analysis system based on Hadoop, relative to the three-decker of traditional service application, this system is introduced Hadoop platform at Business Logic and is carried out Treatment Analysis to large data, and provide the interface to HBase operation at data access layer, adopt HBase can carry out high-efficient and lasting storage to data.Whole system adopts traditional Browser-Server framework.Client uses page browser, does not need the various application programs that user installation is loaded down with trivial details, considerably increases the scope of application of system, decrease the difficulty of system maintenance.The business demand that presentation layer is different according to user, not only can provide simple data text to show, and also can provide various statistical graph and Health & Fitness Tip according to business.Core is Business Logic, provides MapReduce Processing Interface under traditional application service, and the business for large data processing directly can be called Hadoop cluster and carry out data processing.The DAO (Data Access Object, DAO) of data access layer encapsulates basic MySQL operation and HBase operation, according to different business demand access traditional Relational DataBase as MySQL, Oracle, or access HBase.For such hierarchy, ensure that extendability and the applicability of system, when needing to add new business, only needing to change accordingly at Business Logic, and not needing to touch underlying database.Make system achieve service-oriented, for the feature of large data.
As shown in Figure 3, the invention provides a kind of user health data analysis system based on Hadoop, this system comprises individual basic health information management module, individual body examination data management module, statistical analysis module, data-mining module, distributed storage module.Distributed storage module in charge backstage stores, and the basic health information management module of individual and individual body examination data management module are used for foreground and show, statistical analysis module and data-mining module carry out Treatment Analysis to the data that backstage stores.
The function of the basic health information management module of individual is: the basic document information and the health data that comprise personal user.Individual's basic document mainly contains address name, sex, age, date of birth, occupation etc.And system can distribute a user ID uniquely identified as it when user registers first.Fill in voluntarily when these data are registered primarily of user, and can revise at any time.Health data mainly contains passing medical history, blood pressure, height, body weight, height and weight index (BMI), stature, eating habit, health etc.Wherein as blood pressure, height, these data of body weight are recorded by user oneself or medical worker mainly through some portable body examination instruments, and you are updated to up-to-date numerical value.Passing medical history, eating habit are then filled in when registering by user or are filled in after checking out health as user by medical worker.The project such as health, stature draws according to after the body examination Data Analysis Services of user voluntarily primarily of analysis module.In addition, different motion monitoring instruments can also be equipped with for user, the daily exercise situation of recording user, therefore also need to arrange a device numbering and carry out the monitoring instrument that representative of consumer uses.
First system of the present invention can check the integrality of data when processing these data, if imperfect, can require that user supplements.These basic health and fitness informations, except being the various information that user shows himself intuitively, can provide a large amount of True Datas for Analysis of Medical Treatment Data simultaneously.For user provides various health service after carrying out data mining analysis again.
The function of individual's body examination data management module is: the value of these body examination data of height, body weight, blood pressure can not for once be measured, and particularly needs especially often to measure these data to carry out health monitoring for the elderly.In addition, also by a large amount of body examination data analysis and excavation.Therefore the data of a database to these repetitive measurement are needed to store for a long time.And user these data of real time inspection can learn the health that oneself is nearest, if as blood pressure sustainable existence rise trend, user must enhance your vigilance, and carries out certain control or the doctor that seeks help to blood pressure.Comprehensive body examination information management system, contribute to intuitively showing personal health information at many levels, comprehensive system analyzing personal health status, provides Health & Fitness Tip timely, instructs user to improve own health custom and health status.This module, except data management, also needs data input and data to export two parts.Data input mainly utilizes various medical information perception and transmission technology, relies on various medical sensory device as sphygmomanometer, clinical thermometer etc., obtains initial medical data.Transfer data to platform by various Radio Transmission Technology again to store.Data export can by simple webpage intuitively for user shows data, with the form of text or figure.
The function of statistical analysis module is: personal basic health data and body examination data, provide polytype function of statistic analysis.User can check the indices that oneself is nearest, understands current health; Also can, to than health and fitness information in the past, contribute to understanding self health status further.In addition, the tabulate statistics of data can be carried out for one family, analyze and easily obtain the relation that disease and family life be accustomed in this family, thus provide corresponding Health & Fitness Tip.
The function of data-mining module is: this module is the nucleus module of native system, because this system provides health service for a large amount of client, the data volume of each client is again quite huge simultaneously, therefore can call Hadoop platform and carry out data mining, accelerates the processing speed of data.
The software frame of present system comprises presentation layer, Business Logic and data access layer, introduce Hadoop platform at Business Logic and Treatment Analysis is carried out to large data, and provide the interface to HBase operation at data access layer, adopt HBase can carry out high-efficient and lasting storage to data.
The Business Logic of present system software frame provides MapReduce Processing Interface, and the business for large data processing is directly called Hadoop cluster and carried out data processing.
User needs to understand oneself present stage health and potential ill possibility, and therefore present system is mainly based on data relation analysis.Association analysis is carried out to the information such as body examination data, eating habit, health, passing medical history of user, find Strong association rule wherein, thus find the incidence rate of Different age group patient common disease, the incidence of different regions same disease, incidence trend of certain family's genetic disease etc.Also can analyze a people from birth to death Different age group may suffer from the probability of various common disease, better can prevent the generation of some disease, and provide medical treatment & health suggestion, call user's attention daily life is accustomed to thus is reached the effect prevented trouble before it happens, and really accomplishes medical Huimin.Such as: by the association analysis to smoking habit, alcohol drinking patterns and some liver lung disease, Strong association rule wherein can be found.Can also find eating habit, exercise habit and and common " three high " disease between strong associate feature.
The present invention when carrying out association analysis employing be based on MapReduce improve Apriori method.Traditional Apriori method mainly adopts the alternative manner successively searched for find out all frequent item sets.Method after improvement using the input of a large amount of frequent item sets as map by MapReduce programming mode, is carried out auto Segmentation, is assigned on different nodes and carries out parallel processing, substantially increase search speed.The wherein <key of Map output, value> centering, key is the title of item collection, and value is the support of this collection.Then using the input of the output of Map as Reduce, according to the support threshold provided in advance, all frequent item sets are found out.
The function of distributed storage module is: this module mainly plays the function that a backstage stores.The various services that foreground can provide be all based on from distributed storage module obtain needed for data.Have benefited from MVC framework, the thought that View and Model is separated, the change of business does not need the variation touching bottom data.Meanwhile, for the health data of magnanimity, adopt HDFS distributed storage, and in conjunction with HBase data effectively organized and inquire about.
Present system specifically comprises as follows:
(1) three-decker---presentation layer, Business Logic, the data access layer applied relative to traditional business of system software framework of the present invention, introduces Hadoop platform at Business Logic and carries out Treatment Analysis to large data.The mode can calling the large data acquisition key/value of MapReduce programming framework to input right processes.
(2) the present invention provides interface to HBase Distributed Database Operation at data access layer.This database efficiently manages large data based on HDFS (Hadoop Distributed File System).Because Business Logic introduces Hadoop platform, therefore corresponding employing HBase.
(3) the present invention adopts the Design Mode that Spring MVC combines with Spring for Hadoop, operation corresponding for Hadoop is encapsulated in Web application.
(4) system of the present invention is that memory module is that backstage stores in a distributed manner, namely adopts HBase to store the basic health and fitness information of individual and individual body examination data.And data can present to user with Web form.
(5) present system core is statistical analysis module and data-mining module.For different user's requests, provide specific health service.A large amount of health datas that its data source stores from HBase.
(6) data-mining module primary responsibility of the present invention provides the process service of large data.The present invention mainly adopts association analysis, and concrete method adopts the Apriori method improved based on MapReduce, finds out the Strong association rule that frequent item is concentrated.
Claims (10)
1. based on a user health data analysing method of Hadoop, it is characterized in that, described method comprises the steps:
Step 1: user health service routine calls Hadoop platform after receiving the process request of large data, starts MapReduce programming framework and carries out distributed treatment to the large data collected;
Step 2:MapReduce program obtains the magnanimity health data stored from HDFS, and the resource of required by task carries out Data Analysis Services;
Step 3: by the net result after excessive Data Analysis Services stored in HBase;
Step 4: user service directly searches the information needed for oneself according to user's request from HBase, and play up through webpage and just can present to client.
2. a kind of user health data analysing method based on Hadoop according to claim 1, is characterized in that: described method adopts to carry out association analysis based on the Apriori method of MapReduce.
3. a kind of user health data analysing method based on Hadoop according to claim 1, is characterized in that: the data storage in described method adopts HBase.
4. a kind of user health data analysing method based on Hadoop according to claim 1, it is characterized in that: described method passes through MapReduce programming mode using the input of a large amount of frequent item sets as map, carry out auto Segmentation, be assigned on different nodes and carry out parallel processing.
5. based on a user health data analysis system of Hadoop, it is characterized in that: described system comprises individual basic health information management module, individual body examination data management module, statistical analysis module, data-mining module, distributed storage module;
The function of the basic health information management module of individual is: effectively store the essential information of individual and show;
The function of individual's body examination data management module is: effectively store the body examination data of individual and show;
The function of statistical analysis module is: to basic health data and the body examination data of individual, provide polytype function of statistic analysis;
The function of data-mining module is: carry out association analysis by data mining algorithm to the body examination data of user, eating habit, health, passing history information, find Strong association rule wherein, for user provides medical treatment & health to advise;
The function of distributed storage module is a distributed backstage memory function.
6. a kind of user health data analysis system based on Hadoop according to claim 5, it is characterized in that: the distributed storage module in charge backstage of described system stores, the basic health information management module of individual and individual body examination data management module are used for back-end data to carry out foreground displaying, and statistical analysis module and data-mining module carry out Treatment Analysis to the data that backstage stores.
7. a kind of user health data analysis system based on Hadoop according to claim 5, it is characterized in that: the software frame of described system comprises presentation layer, Business Logic and data access layer, introduce Hadoop platform at Business Logic and Treatment Analysis is carried out to large data, and provide the interface to HBase operation at data access layer, adopt HBase to carry out high-efficient and lasting storage to data.
8. a kind of user health data analysis system based on Hadoop according to claim 7, it is characterized in that: the Business Logic of described system software framework provides MapReduce Processing Interface, the business for large data processing is directly called Hadoop cluster and is carried out data processing.
9. according to the arbitrary described a kind of user health data analysis system based on Hadoop of claim 5 or 6 or 7 or 8, it is characterized in that: the Design Mode that described system adopts Spring MVC to combine with Spring for Hadoop, operation corresponding for Hadoop is encapsulated in Web application.
10. according to the arbitrary described a kind of user health data analysis system based on Hadoop of claim 5 or 6 or 7 or 8, it is characterized in that: described system is that memory module is that backstage stores in a distributed manner, namely adopt HBase to store the basic health and fitness information of individual and individual body examination data, data present to user with Web form.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510038173.7A CN104715013A (en) | 2015-01-26 | 2015-01-26 | Hadoop-based user health data analysis method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510038173.7A CN104715013A (en) | 2015-01-26 | 2015-01-26 | Hadoop-based user health data analysis method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104715013A true CN104715013A (en) | 2015-06-17 |
Family
ID=53414340
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510038173.7A Pending CN104715013A (en) | 2015-01-26 | 2015-01-26 | Hadoop-based user health data analysis method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104715013A (en) |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105007314A (en) * | 2015-07-10 | 2015-10-28 | 安徽新华传媒股份有限公司 | Big data processing system oriented to mass reading data of readers |
| CN105243277A (en) * | 2015-10-10 | 2016-01-13 | 平凡 | Computer-aided medical data processing system and method |
| CN105335497A (en) * | 2015-10-26 | 2016-02-17 | 北斗恒星(北京)科技发展有限公司 | Beidou forestry data acquiring and processing method based on cloud computing |
| CN105426684A (en) * | 2015-12-01 | 2016-03-23 | 高福泉 | Auxiliary diagnosis and treatment system for respiratory department |
| CN105512470A (en) * | 2015-12-01 | 2016-04-20 | 苏州登顶医疗科技有限公司 | Enema instrument data process system based on Hadoop platform |
| CN105956017A (en) * | 2016-04-21 | 2016-09-21 | 成都数联铭品科技有限公司 | Massive associated data processing system |
| CN106202883A (en) * | 2016-06-28 | 2016-12-07 | 成都中医药大学 | A kind of method setting up disease cloud atlas based on big data analysis |
| CN106709256A (en) * | 2016-12-29 | 2017-05-24 | 上海微创电生理医疗科技股份有限公司 | ECG data processing system and method thereof |
| CN106846207A (en) * | 2017-01-19 | 2017-06-13 | 四川华迪信息技术有限公司 | Doctor supports combining information service and early warning platform and control method |
| CN107463774A (en) * | 2017-07-21 | 2017-12-12 | 温馨港网络信息科技（苏州）有限公司 | Analysis on the health status Forecasting Methodology and system based on big data |
| CN107844780A (en) * | 2017-11-24 | 2018-03-27 | 中南大学 | A kind of the human health characteristic big data wisdom computational methods and device of fusion ZED visions |
| CN107871536A (en) * | 2017-09-30 | 2018-04-03 | 平安科技（深圳）有限公司 | Diabetic analysis method and application server |
| CN107967455A (en) * | 2017-11-24 | 2018-04-27 | 中南大学 | A kind of transparent learning method of intelligent human-body multidimensional physical feature big data and system |
| CN108461127A (en) * | 2018-01-12 | 2018-08-28 | 平安科技（深圳）有限公司 | Medical data relationship image acquiring method, device, terminal device and storage medium |
| CN111201509A (en) * | 2017-07-10 | 2020-05-26 | 门德斯科技有限公司 | Method for supporting a user in the creation of a software application, computer program for carrying out said method and programming interface usable in said method |
| CN111951965A (en) * | 2020-07-31 | 2020-11-17 | 合肥工业大学 | Panoramic health dynamic monitoring and predicting system based on time sequence knowledge graph |
| CN112971736A (en) * | 2021-03-04 | 2021-06-18 | 浙江品践健康科技有限公司 | User health data analysis device based on alliance chain technology |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102521246A (en) * | 2011-11-11 | 2012-06-27 | 国网信息通信有限公司 | Cloud data warehouse system |
| US9336270B2 (en) * | 2011-12-29 | 2016-05-10 | Teradata Us, Inc. | Techniques for accessing a parallel database system via external programs using vertical and/or horizontal partitioning |
-
2015
- 2015-01-26 CN CN201510038173.7A patent/CN104715013A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102521246A (en) * | 2011-11-11 | 2012-06-27 | 国网信息通信有限公司 | Cloud data warehouse system |
| US9336270B2 (en) * | 2011-12-29 | 2016-05-10 | Teradata Us, Inc. | Techniques for accessing a parallel database system via external programs using vertical and/or horizontal partitioning |
Non-Patent Citations (1)
| Title |
|---|
| 朱安柱: "基于Hadoop的Apriori算法改进与移植的研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105007314A (en) * | 2015-07-10 | 2015-10-28 | 安徽新华传媒股份有限公司 | Big data processing system oriented to mass reading data of readers |
| CN105007314B (en) * | 2015-07-10 | 2018-04-03 | 安徽新华传媒股份有限公司 | Towards the big data processing system of magnanimity readers ' reading data |
| CN105243277A (en) * | 2015-10-10 | 2016-01-13 | 平凡 | Computer-aided medical data processing system and method |
| CN105335497A (en) * | 2015-10-26 | 2016-02-17 | 北斗恒星(北京)科技发展有限公司 | Beidou forestry data acquiring and processing method based on cloud computing |
| CN105426684A (en) * | 2015-12-01 | 2016-03-23 | 高福泉 | Auxiliary diagnosis and treatment system for respiratory department |
| CN105512470A (en) * | 2015-12-01 | 2016-04-20 | 苏州登顶医疗科技有限公司 | Enema instrument data process system based on Hadoop platform |
| CN105956017A (en) * | 2016-04-21 | 2016-09-21 | 成都数联铭品科技有限公司 | Massive associated data processing system |
| CN106202883A (en) * | 2016-06-28 | 2016-12-07 | 成都中医药大学 | A kind of method setting up disease cloud atlas based on big data analysis |
| CN106709256A (en) * | 2016-12-29 | 2017-05-24 | 上海微创电生理医疗科技股份有限公司 | ECG data processing system and method thereof |
| CN106709256B (en) * | 2016-12-29 | 2019-07-23 | 上海远心医疗科技有限公司 | ECG data processing system and method |
| CN106846207A (en) * | 2017-01-19 | 2017-06-13 | 四川华迪信息技术有限公司 | Doctor supports combining information service and early warning platform and control method |
| CN111201509B (en) * | 2017-07-10 | 2023-10-24 | 门德斯科技有限公司 | Method for supporting a user when creating a software application, computer program for implementing the method and programming interface usable in the method |
| CN111201509A (en) * | 2017-07-10 | 2020-05-26 | 门德斯科技有限公司 | Method for supporting a user in the creation of a software application, computer program for carrying out said method and programming interface usable in said method |
| CN107463774A (en) * | 2017-07-21 | 2017-12-12 | 温馨港网络信息科技（苏州）有限公司 | Analysis on the health status Forecasting Methodology and system based on big data |
| CN107871536A (en) * | 2017-09-30 | 2018-04-03 | 平安科技（深圳）有限公司 | Diabetic analysis method and application server |
| CN107844780A (en) * | 2017-11-24 | 2018-03-27 | 中南大学 | A kind of the human health characteristic big data wisdom computational methods and device of fusion ZED visions |
| CN107967455A (en) * | 2017-11-24 | 2018-04-27 | 中南大学 | A kind of transparent learning method of intelligent human-body multidimensional physical feature big data and system |
| WO2019136807A1 (en) * | 2018-01-12 | 2019-07-18 | 平安科技（深圳）有限公司 | Medical data relationship image acquisition method and apparatus, terminal device and storage medium |
| CN108461127A (en) * | 2018-01-12 | 2018-08-28 | 平安科技（深圳）有限公司 | Medical data relationship image acquiring method, device, terminal device and storage medium |
| CN111951965A (en) * | 2020-07-31 | 2020-11-17 | 合肥工业大学 | Panoramic health dynamic monitoring and predicting system based on time sequence knowledge graph |
| CN111951965B (en) * | 2020-07-31 | 2024-01-23 | 合肥工业大学 | Panoramic health dynamic monitoring and predicting system based on time sequence knowledge graph |
| CN112971736A (en) * | 2021-03-04 | 2021-06-18 | 浙江品践健康科技有限公司 | User health data analysis device based on alliance chain technology |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104715013A (en) | Hadoop-based user health data analysis method and system | |
| Cameron et al. | An ontology of and roadmap for mHealth research | |
| Celesti et al. | Information management in IoT cloud-based tele-rehabilitation as a service for smart cities: Comparison of NoSQL approaches | |
| CN106547766A (en) | A kind of data access method and device | |
| Zhang et al. | A bibliometric analysis of highly cited papers in the field of Economics and Business based on the Essential Science Indicators database | |
| CN110222069A (en) | Equipment, system and method for batch and real time data processing | |
| CN105512985A (en) | Diabetes electronic medical record data storage method based on openEHR standard | |
| CN103294914A (en) | Cloud-platform-based remote medical service system | |
| CN105718732A (en) | Medical data collection and analysis method and system | |
| CN106919608A (en) | Medical data processing method, device and platform | |
| KR20160125543A (en) | User-oriented healthcare big data service method, computer program and system | |
| Brynjolfsson | McAfee A | |
| CN105022783A (en) | Hadoop based user service security system and method | |
| KR20160125544A (en) | User-oriented healthcare big data service method, computer program and system | |
| CN106326623A (en) | Health information processing method and system | |
| Li et al. | Female fertility history and mid-late-life health: Findings from China | |
| Tiwari et al. | Data stream management for CPS-based healthcare: a contemporary review | |
| Lee et al. | A data acquisition architecture for healthcare services in mobile sensor networks | |
| CN110189804A (en) | A kind of acquisition of cardiovascular information and processing system and method | |
| WO2019168702A1 (en) | Sensor data based query results | |
| CN106388146A (en) | A cloud-computing-platform-based smart band and a system | |
| Alqahtani | A review of the scope, future, and effectiveness of using artificial intelligence in cardiac rehabilitation: a call to action for the Kingdom of Saudi Arabia | |
| Pérez-Claros et al. | How many hyenas in North America? A quantitative perspective | |
| CN106412004A (en) | Smart bracelet and system based on cloud computing platform | |
| Han et al. | Study of the hermeneutical phenomenon regarding the meaning of the driving force of life experienced by the elderly |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20150617 |
|
| RJ01 | Rejection of invention patent application after publication |