CN110136837A - A kind of medical data processing platform - Google Patents
A kind of medical data processing platform Download PDFInfo
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- CN110136837A CN110136837A CN201910249881.3A CN201910249881A CN110136837A CN 110136837 A CN110136837 A CN 110136837A CN 201910249881 A CN201910249881 A CN 201910249881A CN 110136837 A CN110136837 A CN 110136837A
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- 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
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Abstract
The present embodiments relate to a kind of medical data processing platforms, comprising: data capture unit, for obtaining medical data；Data Integration unit carries out Data Integration to medical data, establishes platform data warehouse；BI data processing unit obtains business intelligence data library for carrying out data pick-up, conversion and load to the medical data in platform data warehouse；OLAP data analysis model unit establishes the Data Analysis Model of various dimensions according to the first business dimension of medical platform and the first index dimension；Data analysis is carried out to the medical data in business intelligence data library, obtains multidimensional data analysis result；Data mining model unit establishes the data mining model of various dimensions for the second business dimension and the second index dimension according to medical platform；Data mining is carried out to the medical data in business intelligence data library, obtains multidimensional data mining result；BI display unit, for being shown according to the default form of expression to multidimensional data analysis result and multidimensional data mining result.
Description
Technical field
The present invention relates to data processing field more particularly to a kind of medical data processing platforms.
Background technique
In recent years, with the continuous development of medical technology, medical data is increased rapidly, the analysis based on medical big data
And decision support also comes into vogue.But as the scale of hospital constantly increases, medical data volume is continuously increased, HIS,
These the simple business diagnosis of each management system such as LIS, PACS are no longer satisfied area medical platform to management and development
Demand.
The appearance of business intelligence provides possibility for the in-depth analysis and excavation of business datum, but combined with hospital
Business intelligence analysis is also in the starting stage, especially lacks especially for the intellectual analysis of medical field.Hospital needs to take up a job as a doctor
Institute's business, which is set out, carries out deeper excavation and analysis to existing medical data, can just find out asking in hospital's self-growth
It inscribes and correct decision is made to following development.
Summary of the invention
The purpose of the present invention is in view of the drawbacks of the prior art, providing a kind of medical data processing platform, can be realized pair
The multidimensional analysis of the different angle of medical data carries out analysis from different visual angles from medical personal convenient for administration of health and asks
Topic realizes more attribute synthesis point to medical data further, it is possible to find out new valuable information from existing data
Analysis.
In view of this, the embodiment of the invention provides a kind of medical data processing platforms, comprising:
Data capture unit, for obtaining the hospital information system data of multiple medical platforms according to prefixed time interval
Medical data in library, laboratory information system database, image archiving and communication system data library；
Data Integration unit, for obtaining corresponding preset rules according to the type of database, according to the default rule
Data Integration then is carried out to corresponding medical data, platform data warehouse is established according to the medical data after the integration；
BI data processing unit, for in the platform data warehouse medical data carry out data pick-up, conversion and
Load, obtains business intelligence data library；Medical control decision, medical diagnosis and scientific research demand are analyzed, the first industry is obtained
Business dimension, the first index dimension and the second business dimension, the second index dimension；
OLAP data analysis model unit is established according to the first business dimension of the medical platform and the first index dimension
The Data Analysis Model of various dimensions；According to the Data Analysis Model of multidimensional to the medical data in the business intelligence data library into
The analysis of row data, obtains multidimensional data analysis result；
Data mining model unit, for according to the second business dimension of the medical platform and the foundation of the second index dimension
The data mining model of various dimensions；According to the data mining model of various dimensions to the medical data in the business intelligence data library
Data mining is carried out, multidimensional data mining result is obtained；
BI display unit presets the form of expression to the multidimensional data analysis result and multidimensional data mining knot for basis
Fruit is shown, wherein the default form of expression be line chart, bar chart, sector diagram, scatter plot, instrument board, radar map with
And one of table or a variety of.
Preferably, the OLAP data analysis model unit is also used to be tieed up according to first business dimension and the first index
Degree obtains corresponding medical data in the business intelligence data library；According to the medical data to the Data Analysis Model
Carry out repeatedly training, test and evaluation.
Preferably, the data mining model unit is also used to repeatedly instruct the data mining model of the various dimensions
Practice, test and evaluation.
It is inputted it is further preferred that the data mining model unit is specifically used for being set according to the data mining model
Project and output project；The cuit includes period first time, and the output project includes second time period；According to
The cuit and period first time obtain corresponding medical data in the business intelligence data library；By institute
It states the medical data got and inputs the data mining model, the data mining model handles the medical data
After obtain prediction output data；The prediction output data includes confidence interval；According to the output project and week the second time
Phase obtains corresponding medical data, and carries out Macro or mass analysis, obtains reality output data；By the prediction output data and institute
It states reality output data to compare, obtains error information；The multiple errors obtained according to multiple training, test are to the data
Mining model is assessed.
It is inputted it is further preferred that the data mining model unit is specifically used for being set according to the data mining model
Project and output project；The cuit includes patient information, checks information, diagnostic message and medical expense information；It is described
Output project includes sickness influence because of sublist, Analysis of prevalence list, genius morbi list or cost impacts list of factors, described
It include project information and corresponding probabilistic information in list；According to business intelligence number described in the cuit and preset quantity
According to obtaining corresponding medical data in library；The medical data got is inputted into the data mining model, the number
After handling according to mining model the medical data, output data is exported according to the output project；Increase described default
Quantity carries out repeatedly training to the data mining model and tests, obtains multiple output datas；By the multiple output data
It compares and analyzes, the data mining model is assessed according to the analysis result.
Preferably, the Data Integration unit is also used to update the medical data in the platform data warehouse.
It is further preferred that the BI data processing unit is also used to according to the update of updated platform data warehouse
Business intelligence data library.
It is further preferred that the OLAP data analysis model unit is also used to according to updated business intelligence data library
The Data Analysis Model is trained, test and evaluation.
It is further preferred that the data mining model unit is also used to according to updated business intelligence data library to institute
State data mining model be trained, test and evaluation.
A kind of medical data processing platform provided in an embodiment of the present invention, can be realized to the different angle of medical data
Multidimensional analysis carries out problem analysis from different visual angles from medical personal convenient for administration of health, further, it is possible to from existing number
New valuable information is found out in, is such as predicted, is described, is clustered, and classification, analysis of Influential Factors, Study on Relative Factors etc. are real
Now more attribute synthesis of medical data are analyzed.
Detailed description of the invention
Fig. 1 is a kind of structural schematic diagram of medical data processing platform provided in an embodiment of the present invention.
Specific embodiment
Below by drawings and examples, technical scheme of the present invention will be described in further detail.
Fig. 1 is a kind of structural schematic diagram of medical data processing platform provided in an embodiment of the present invention, as shown in Figure 1, packet
Include data capture unit 1, Data Integration unit 2, BI data processing unit 3, OLAP Data Analysis Model unit 4, data mining
Model unit 5 and BI display unit 6.
Data capture unit 1 can be realized by data capture engine, when the effect of data capture unit 1 is according to presetting
Between the hospital information system databases of the multiple medical platforms of interval acquiring, laboratory information system database, image archiving and logical
Believe the medical data in system database.Wherein, those skilled in the art, which can according to need, sets prefixed time interval
It is fixed, for example can be set as 1 day, one week etc., so as to obtain the hospital information system number that each medical platform updates in time
According to the medical data in library, laboratory information system database, image archiving and communication system data library.
Hospital information system database (Hospital Information System, HIS) is covering all industry of hospital
The information management system of business and business overall process is to be provided using electronic computer and communication apparatus for component commands, hospital door
The collection of patient's medical information and administration information, storage, processing, extraction and data exchange ability and meet authorized user
Functional requirement platform.
Laboratory information system database (Laboratory Information Management System, LIS) leads to
The inspection request for crossing outpatient clinician and work station proposition in hospital, generates the chemical examination bar-code label of respective patient, is generating laboratory test report
While the essential information of patient is corresponding with testing instruments；After testing instruments generate result, system can be according to corresponding
Relationship, it is by data-interface and result approval that inspection data is automatically corresponding with patient information, to realize checking information electricity
Sonization, laboratory information management automated network system.
Communication system data library (Picture Archiving and Communication Systems, PACS), is answered
Used in the system of hospital image department, main task is exactly that (including nuclear-magnetism, CT surpass the various medical images of daily generation
Sound, various X-ray machines, the image that the equipment such as various radar stealthy materials, frequency microscope generate) pass through various interfaces (simulation, DICOM, network)
Magnanimity saves in a manner of digitized.
Specifically, data capture unit 1 obtains the doctor of each hospital by the data-interface of each hospital in region respectively
Medical data in institute's information system database, laboratory information system database and image archiving and communication system data library,
It should be noted that the acquisition database in medical data includes but is not limited to above-mentioned hospital information system database, laboratory
Information system database, image archiving and three kinds of communication system data library database.Those skilled in the art can be according to need
The quantity in the region and hospital is set.
The effect of Data Integration unit 2 is to obtain corresponding preset rules according to the type of database, according to default rule
Data Integration then is carried out to corresponding medical data, platform data warehouse is established according to the medical data after integration.It needs
Bright, the database of each type corresponds to different preset rules, includes saving format to data, structure in preset rules
With the requirement of type etc., that is to say, that for hospital information system database, laboratory information system database, image archiving
Corresponding preset rules are respectively adopted with the medical data in communication system data library and carry out Data Integration, and according to integration after
Medical data establish platform data warehouse.
For BI data processing unit 3 there are two effect, one is to carry out data pumping to the medical data in platform data warehouse
It takes, convert and loads, obtain business intelligence data library.Data pick-up, which refers to from platform data warehouse, extracts purpose data source systems
The data needed；Data conversion refers to that the data that will be obtained from source data source according to business demand, are converted into purpose data source and want
The form asked, and mistake, inconsistent data are cleaned and processed；Data load, which refers to, is loaded into the data after conversion
Purpose data source.The purpose of the process is responsible for data will be distributed, in heterogeneous data source such as relation data, panel data text
Part etc. is cleaned after being drawn into interim middle layer, is converted, is integrated, and data warehouse or Data Mart are finally loaded into, i.e. business
In intelligence database, become the basis of on-line analytical processing, data mining.
Another effect of BI data processing unit 3 is divided medical control decision, medical diagnosis and scientific research demand
Analysis, obtains the first business dimension, the first index dimension and the second business dimension, the second index dimension；Wherein, wherein the first industry
Dimension, the first index dimension of being engaged in are analyzed for data, and the second business dimension, the second index dimension are used for data mining, the first industry
Business dimension and the second business dimension can be the same or different, and those skilled in the art, which can according to need, to be set.
First business dimension refers to Analysis of Policy Making theme, can specifically include medical number quality operation management decision, manpower
Resource decision, financial decision, handling of goods and materials decision, service and decision-making, real time clinical decision, clinical path and scientific research decision,
First index dimension refers to the analysis indexes based on the first business dimension, such as medical corresponding point of operation management decision of number quality
Analysis index can accept theme, operation theme, anesthesia theme for medical treatment to be hospitalized；The analysis indexes of human resources decision can be performance master
Topic, business information, essential information theme；The analysis indexes of financial decision can be medical income theme, medical treatment cost theme；Object
The analysis indexes for providing administrative decision can be medical supplies theme, Medical Devices theme, logistical materials theme；Point of service and decision-making
Analysis index can accept prediction theme, average length of hospitalization prediction theme for medical treatment to be hospitalized；The analysis indexes of real time clinical decision can be
Real time clinical decision, clinic diagnosis theme, medical quality control theme；The analysis indexes of clinical path can for clinical path,
Common index monitor theme, clinical path and non-clinical path compare theme, Single diseases key implementation path monitor theme；Science
The analysis indexes for studying decision can be circular for confirmation medical subject, clinical research theme.
Second business dimension can specifically include service and decision-making class, medical diagnosis and scientific research class and financial management class, and second
Index refers to the analysis indexes based on the second business dimension, for example corresponding second index of service and decision-making class can be situation of registering
Prediction, medical situation are predicted, situation of paying a home visit prediction, diagnose situation prediction, discharge situation is predicted, discharge day situation is predicted, is critical
The prediction of rate situation, the prediction of invasive surgery situation, the prediction of non-invasive procedures situation, the prediction of Bed utilization rate situation, the bed turnover time of circulating funds
Situation prediction, consultation time analysis；Medical diagnosis the second index corresponding with scientific research class can be pre- for disease etiological analysis, disease
Survey analysis, patient mode's identification, concurrent disease association analysis, intelligence prescription recommendation, medication combinatory analysis, Analysis on Epidemic Surveillance,
Narco analysis, drug abnormal response analysis, state of an illness EVOLUTION ANALYSIS；Second index of medical diagnosis and scientific research class can be disease disease
Because analysis, disease forecast analysis, patient mode's identification, concurrent disease association analysis, intelligent prescription recommendation, medication combinatory analysis,
Analysis on Epidemic Surveillance, narco analysis, drug abnormal response analysis, state of an illness EVOLUTION ANALYSIS；Second index of financial management class can be with
It is pre- for cost early warning analysis, medical department cost forecast analysis, project cost forecast analysis, disease cost accounting forecast analysis, institute-level cost
Survey analysis, department's income forecast analysis, project income forecast analysis, disease income forecast analysis, institute-level income forecast analysis, doctor
Protect income forecast analysis, medical expense anomaly analysis, Analysis of The Factors Affecting Hospitalization Cost of Patients.
It should be noted that those skilled in the art can according to need to the first business dimension, the first index dimension and
Second business dimension, the second index dimension are set.
The effect of OLAP data analysis model unit 4 is the first business dimension and the first index dimension according to medical platform
Establish the Data Analysis Model of various dimensions；Specifically, each first index dimension can establish the data analysis an of dimension
Model, to analyze mould according to the OLAP data that the first business dimension of medical platform and the first index dimension establish various dimensions
Type.
After this, need to be trained with model of a large amount of data to various dimensions, i.e., according to the first business dimension and
First index dimension obtains corresponding medical data in business intelligence data library；According to medical data to corresponding data point
It analyses model and carries out repeatedly training, test and evaluation, and constantly model is optimized according to training, test and evaluation result, into
And the Data Analysis Model of multiple various dimensions after being optimized.
OLAP data analysis model unit 4 is also used to the Data Analysis Model according to multidimensional in business intelligence data library
Medical data carries out data analysis, obtains multidimensional data analysis result.It is more training Optimized model to obtain using a large amount of data
After the Data Analysis Model of a various dimensions, district management personnel can according to need selection Data Analysis Model, and in business
The data analyst coverage to be analyzed is selected in intelligence database, medical data is selected according to data area, and input selected
Data Analysis Model, to obtain data analysis result.OLAP data analysis major function be to data carry out collect statistics with
Calculate, different from common static statement outside, based on the dynamic statement of OLAP technology, realize the data analysis inquiry of multi-angle,
Problem analysis is carried out from different visual angles from medical personal convenient for administration of health.
The effect of data mining model unit 5 is established according to the second business dimension of medical platform and the second index dimension
The data mining model of various dimensions.Specifically, data mining model major function is for particular analysis theme, use is advanced
Data mining and statistical technique find out new valuable information from existing data, such as predict, describe, and cluster, classification,
Analysis of Influential Factors, Study on Relative Factors etc., data mining provide a kind of multiattribute comprehensive analysis method.Specifically, every
One the second index dimension can establish the data mining model of a dimension, thus according to the second business dimension of medical platform
The data mining model of various dimensions is established with the second index dimension.
After this, it needs to carry out repeatedly training with data mining model of a large amount of data to various dimensions, test and comment
Estimate.Data mining model has the cuit and output project of setting, different with output item purpose according to cuit, different
Data mining model has different training test methods, and lower mask body introduces two kinds of training test appraisal procedures:
The first is to set cuit and output project according to data mining model；When including first in cuit
Between the period, include second time period in output project, in a specific example, according to the second business dimension service and decision-making
It is to register situation prediction model that the corresponding second index dimension of class, which is the data mining model that situation prediction is established of registering, and function is
Predict the situation of registering of future Y Qi Ge department, then the cuit set is the number of registering of each department of history X phase, X the
A period of time, output project are the number of registering of future Y Qi Ge department, and Y is second time period；According to cuit and
A period of time obtains corresponding medical data in business intelligence data library；The medical data input data that will acquire is dug
Model is dug, data mining model obtains prediction output data, goes back in the prediction output data after handling medical data
Including confidence interval.After obtaining prediction output data, corresponding doctor is obtained according to output project and second time period
Data are treated, and carry out Macro or mass analysis, obtain reality output data；Prediction output data is compared with reality output data,
Obtain error information；Data mining model is evaluated and optimized according to multiple errors that multiple training, test obtain.It is this
Method is suitable for service and decision-making class data mining model, shown in service and decision-making class data mining model table 1 specific as follows.
1 service and decision-making class data mining model of table
Second is to set cuit and output project according to data mining model；Cuit include patient information,
Check information, diagnostic message and medical expense information；Output project includes sickness influence because of sublist, Analysis of prevalence list, disease
Sick feature list or cost impacts list of factors include project information and corresponding probabilistic information in list；According to input item
Corresponding medical data is obtained in mesh and preset quantity business intelligence data library；The medical data input data that will acquire is dug
Model is dug, after data mining model handles medical data, output data is exported according to output project；Increase present count
Amount carries out repeatedly training to data mining model and tests, obtains multiple output datas；Multiple output datas are compared point
Analysis, based on the analysis results assesses data mining model.This method is suitable for medical diagnosis and the data mining of scientific research class
Shown in model, medical diagnosis and scientific research class data mining model table 2 specific as follows.
2 medical diagnosis of table and scientific research class data mining model
In addition, some use first method for financial management class data mining model, some use second of side
Method, financial management class data mining model are specifically as shown in table 3.
3 medical diagnosis of table and scientific research class data mining model
Data mining model unit 5 is also used to the data mining model according to various dimensions to the doctor in business intelligence data library
It treats data and carries out data mining, obtain multidimensional data mining as a result, multiple training Optimized model to obtain using a large amount of data
After the data mining model of various dimensions, district management personnel can according to need selection data mining model, and in business intelligence
The data analyst coverage to be excavated can be selected in database, medical data be selected according to data area, and input selected number
According to mining model, to obtain data mining results.
BI display unit 6 be used for according to preset the form of expression to multidimensional data analysis result and multidimensional data mining result into
Row is shown, wherein the default form of expression includes but is not limited to line chart, bar chart, sector diagram, scatter plot, instrument board, radar map
And one of table or a variety of.
Over time, medical platform can generate new medical data, to update the information for hospital of medical platform
Medical data in system database, laboratory information system database and image archiving and communication system data library, data are whole
The medical data that unit 2 is also used to timely update in platform data warehouse is closed, BI data processing unit 3 is also used to according to after update
Platform data warehouse update business intelligence data library, to make OLAP data analysis model unit 4 according to updated business
Intelligence database is trained Data Analysis Model, test and evaluation and data mining model unit 5 are according to updated
Business intelligence data library is trained data mining model, test and evaluation, to obtain more accurately analyzing data.
A kind of medical data processing platform provided in an embodiment of the present invention, can be realized to the different angle of medical data
Multidimensional analysis carries out problem analysis from different visual angles from medical personal convenient for administration of health, further, it is possible to from existing number
New valuable information is found out in, is such as predicted, is described, is clustered, and classification, analysis of Influential Factors, Study on Relative Factors etc. are real
Now more attribute synthesis of medical data are analyzed.
Professional should further appreciate that, described in conjunction with the examples disclosed in the embodiments of the present disclosure
Unit and algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, hard in order to clearly demonstrate
The interchangeability of part and software generally describes each exemplary composition and step according to function in the above description.
These functions are implemented in hardware or software actually, the specific application and design constraint depending on technical solution.
Professional technician can use different methods to achieve the described function each specific application, but this realization
It should not be considered as beyond the scope of the present invention.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can be executed with hardware, processor
The combination of software module or the two is implemented.Software module can be placed in random access memory, and (processing of RA medical data is flat
Platform), memory, read-only memory (RO medical data processing platform), electrically programmable RO medical data processing platform, electric erasable can
Program RO medical data processing platform, register, hard disk, moveable magnetic disc, CD-RO medical data processing platform or technology neck
In any other form of storage medium well known in domain.
Above-described specific embodiment has carried out further the purpose of the present invention, technical scheme and beneficial effects
It is described in detail, it should be understood that being not intended to limit the present invention the foregoing is merely a specific embodiment of the invention
Protection scope, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should all include
Within protection scope of the present invention.
Claims (9)
1. a kind of medical data processing platform, which is characterized in that the platform includes:
Data capture unit, for obtaining hospital information system database, the reality of multiple medical platforms according to prefixed time interval
Test the medical data in room information system database, image archiving and communication system data library；
Data Integration unit, for obtaining corresponding preset rules according to the type of database, according to the preset rules pair
Corresponding medical data carries out Data Integration, establishes platform data warehouse according to the medical data after the integration；
BI data processing unit, for carrying out data pick-up, conversion and load to the medical data in the platform data warehouse,
Obtain business intelligence data library；Medical control decision, medical diagnosis and scientific research demand are analyzed, the first business dimension is obtained
Degree, the first index dimension and the second business dimension, the second index dimension；
OLAP data analysis model unit establishes multidimensional according to the first business dimension of the medical platform and the first index dimension
The Data Analysis Model of degree；The medical data in the business intelligence data library is counted according to the Data Analysis Model of multidimensional
According to analysis, multidimensional data analysis result is obtained；
Data mining model unit, for establishing multidimensional according to the second business dimension and the second index dimension of the medical platform
The data mining model of degree；The medical data in the business intelligence data library is carried out according to the data mining model of various dimensions
Data mining obtains multidimensional data mining result；
BI display unit, for according to preset the form of expression to the multidimensional data analysis result and multidimensional data mining result into
Row is shown, wherein the default form of expression is line chart, bar chart, sector diagram, scatter plot, instrument board, radar map and table
One of lattice are a variety of.
2. medical data processing platform according to claim 1, which is characterized in that the OLAP data analysis model unit
It is also used to obtain corresponding medical treatment in the business intelligence data library according to first business dimension and the first index dimension
Data；Repeatedly training, test and evaluation are carried out to the Data Analysis Model according to the medical data.
3. medical data processing platform according to claim 1, which is characterized in that the data mining model unit is also used
Repeatedly training, test and evaluation are carried out in the data mining model to the various dimensions.
4. medical data processing platform according to claim 3, which is characterized in that the data mining model unit is specific
For setting cuit and output project according to the data mining model；The cuit includes period first time,
The output project includes second time period；According to the cuit and period first time in the business intelligence
Corresponding medical data is obtained in database；The medical data got is inputted into the data mining model, it is described
Data mining model obtains prediction output data after handling the medical data；The prediction output data includes confidence
Section；Corresponding medical data is obtained according to the output project and second time period, and carries out Macro or mass analysis, obtains reality
Border output data；The prediction output data and the reality output data are compared, error information is obtained；According to multiple
Multiple errors that training, test obtain assess the data mining model.
5. medical data processing platform according to claim 3, which is characterized in that the data mining model unit is specific
For setting cuit and output project according to the data mining model；The cuit includes patient information, checks
Information, diagnostic message and medical expense information；The output project includes sickness influence because of sublist, Analysis of prevalence list, disease
Sick feature list or cost impacts list of factors include project information and corresponding probabilistic information in the list；According to institute
It states and obtains corresponding medical data in business intelligence data library described in cuit and preset quantity；By the doctor got
It treats data and inputs the data mining model, after the data mining model handles the medical data, according to described
Output project exports output data；Increase the preset quantity, repeatedly training is carried out to the data mining model and test, obtains
To multiple output datas；The multiple output data is compared and analyzed, according to the analysis result to the data mining
Model is assessed.
6. medical data processing platform according to claim 1, which is characterized in that the Data Integration unit is also used to more
Medical data in the new platform data warehouse.
7. medical data processing platform according to claim 6, which is characterized in that the BI data processing unit is also used to
The business intelligence data library is updated according to updated platform data warehouse.
8. medical data processing platform according to claim 7, which is characterized in that the OLAP data analysis model unit
It is also used to be trained the Data Analysis Model according to updated business intelligence data library, test and evaluation.
9. medical data processing platform according to claim 7, which is characterized in that the data mining model unit is also used
In the data mining model is trained according to updated business intelligence data library, test and evaluation.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| CN111276241A (en) * | 2020-01-15 | 2020-06-12 | 河南省人民医院 | Intelligent analysis method, system and equipment for medical inspection data |
| CN112214638A (en) * | 2020-10-20 | 2021-01-12 | 湖南快乐阳光互动娱乐传媒有限公司 | Video content deconstruction method and system based on big data mining |
| CN112365964A (en) * | 2020-12-01 | 2021-02-12 | 南京青囊医疗科技服务有限公司 | Data processing method, system and device based on medical consumable management platform |
| CN113160976A (en) * | 2021-04-29 | 2021-07-23 | 上海商汤智能科技有限公司 | Medical data processing method and device based on SaaS service and electronic equipment |
| CN113299402A (en) * | 2021-05-27 | 2021-08-24 | 深圳市第二人民医院(深圳市转化医学研究院) | Medical data processing method, device, computer equipment and storage medium |
| CN113488155A (en) * | 2021-07-16 | 2021-10-08 | 京弘达(上海)医疗技术有限公司 | Refined management system based on hospital operation model |
| CN113782212A (en) * | 2021-04-19 | 2021-12-10 | 东华医为科技有限公司 | Data processing system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111078976A (en) * | 2019-11-08 | 2020-04-28 | 昆明理工大学 | Medical system crawler-based data extraction method |
| CN111276241A (en) * | 2020-01-15 | 2020-06-12 | 河南省人民医院 | Intelligent analysis method, system and equipment for medical inspection data |
| CN112214638A (en) * | 2020-10-20 | 2021-01-12 | 湖南快乐阳光互动娱乐传媒有限公司 | Video content deconstruction method and system based on big data mining |
| CN112214638B (en) * | 2020-10-20 | 2023-04-21 | 湖南快乐阳光互动娱乐传媒有限公司 | Video content deconstructing method and system based on big data mining |
| CN112365964A (en) * | 2020-12-01 | 2021-02-12 | 南京青囊医疗科技服务有限公司 | Data processing method, system and device based on medical consumable management platform |
| CN113782212A (en) * | 2021-04-19 | 2021-12-10 | 东华医为科技有限公司 | Data processing system |
| CN113160976A (en) * | 2021-04-29 | 2021-07-23 | 上海商汤智能科技有限公司 | Medical data processing method and device based on SaaS service and electronic equipment |
| CN113299402A (en) * | 2021-05-27 | 2021-08-24 | 深圳市第二人民医院(深圳市转化医学研究院) | Medical data processing method, device, computer equipment and storage medium |
| CN113488155A (en) * | 2021-07-16 | 2021-10-08 | 京弘达(上海)医疗技术有限公司 | Refined management system based on hospital operation model |
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