CN110119432A - A kind of data processing method for medical platform - Google Patents
A kind of data processing method for medical platform Download PDFInfo
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- CN110119432A CN110119432A CN201910250740.3A CN201910250740A CN110119432A CN 110119432 A CN110119432 A CN 110119432A CN 201910250740 A CN201910250740 A CN 201910250740A CN 110119432 A CN110119432 A CN 110119432A
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Abstract
The present embodiments relate to a kind of data processing methods for medical platform, comprising: obtains the medical data of multiple medical platforms；Data Integration is carried out to corresponding medical data according to preset rules, platform data warehouse is established according to the medical data after integration；Data pick-up, conversion and load are carried out to the medical data in platform data warehouse, obtain business intelligence data library；Establish the Data Analysis Model of various dimensions；Data analysis is carried out to the medical data in business intelligence data library according to the Data Analysis Model of multidimensional, obtains multidimensional data analysis result；The data mining model of various dimensions is established according to the second business dimension of medical platform and the second index dimension；Data mining is carried out to the medical data in business intelligence data library according to the data mining model of various dimensions, obtains multidimensional data mining result；Multidimensional data analysis result and multidimensional data mining result are shown according to the default form of expression.
Description
Technical field
The present invention relates to data processing field more particularly to a kind of data processing methods for medical platform.
Background technique
In recent years, with the continuous development of medical technology, medical data is increased rapidly, point based on medical big data
Analysis and decision support also come into vogue.Traditional Hospital medical business is mainly by each management system such as HIS, LIS, PACS
System be supported and operate, while these management systems can the medical profession data to hospital simply counted.But with
The scale of hospital constantly increase, medical data volume is continuously increased, these simple business diagnosis are no longer satisfied hospital
Demand to self-management and development.
The appearance of business intelligence provides possibility for the in-depth analysis and excavation of business datum, while the technology is also
It reaches its maturity.But the business intelligence analysis combined with hospital is also in the starting stage, especially for the intelligence of medical field
It can analyze and especially lack.Traditional business intelligence analysis is from data, according to the traffic-operating period of enterprise, by enterprise
The data of the trading items such as order, inventory switch to knowledge, provide help for the decision support of enterprise.But hospital is come
It says, the service conditions of hospital itself is more special, and the solution of traditional business intelligence is not able to satisfy to existing hospital
Business diagnosis and support decision.
Hospital needs to carry out deeper excavation and analysis, ability to existing medical data from hospital business
It finds out the problems in hospital's self-growth 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 data processing method for medical platform,
The multidimensional analysis to the different angle of medical data is realized by Data Analysis Model, is convenient for administration of health and medical personal
Problem analysis is carried out from different visual angle, also, can be found out from existing data by Data Analysis Model new valuable
The information of value is such as predicted, is described, and is clustered, classification, and analysis of Influential Factors, Study on Relative Factors etc. are realized to medical data
More attribute synthesis analyses.
In view of this, the embodiment of the invention provides a kind of data processing methods for medical platform, comprising:
The hospital information system databases of multiple medical platforms, laboratory information system database, image is obtained respectively to return
Medical data in shelves and communication system data library；
Corresponding preset rules are obtained according to the type of database, according to the preset rules to corresponding medical treatment
Data carry out Data Integration, establish platform data warehouse according to the medical data after the integration；
Data pick-up, conversion and load are carried out to the medical data in the platform data warehouse, obtain business intelligence number
According to library；
Mould is analyzed according to the data that the first business dimension of the medical platform and the first index dimension establish various dimensions
Type；
Data analysis is carried out to the medical data in the business intelligence data library according to the Data Analysis Model of multidimensional,
Obtain multidimensional data analysis result；
The data mining mould of various dimensions is established according to the second business dimension of the medical platform and the second index dimension
Type；
Data digging is carried out to the medical data in the business intelligence data library according to the data mining model of various dimensions
Pick, obtains multidimensional data mining result；
The multidimensional data analysis result and multidimensional data mining result are shown according to the default form of expression.
Preferably, data pick-up, conversion and load are carried out in the medical data in the platform data warehouse,
After obtaining business intelligence data library, the method also includes:
Medical control decision, medical diagnosis and scientific research demand are analyzed, first business dimension, first are obtained
Index dimension and the second business dimension, the second index dimension.
It is further preferred that being established in first business dimension according to the medical platform and the first index dimension
After the Data Analysis Model of various dimensions, the method also includes:
Corresponding doctor is obtained in the business intelligence data library according to first business dimension and the first index dimension
Treat data；
Repeatedly training, test and evaluation are carried out to the Data Analysis Model according to the medical data.
It is further preferred that being established in second business dimension according to the medical platform and the second index dimension
After the data mining model of various dimensions, the method also includes:
Repeatedly training, test and evaluation are carried out to the data mining model of the various dimensions.
It is further preferred that the data mining model to the various dimensions carries out repeatedly training, test and evaluation has
Body includes:
Cuit and output project are set according to the data mining model；The cuit includes at the first time
In the period, the output project includes second time period；
It is obtained in the business intelligence data library according to the cuit and period first time corresponding
Medical data；
The medical data got is inputted into the data mining model, the data mining model is to the doctor
It treats and obtains prediction output data after data are handled；The prediction output data includes confidence interval；
Corresponding medical data is obtained according to the output project and second time period, and carries out Macro or mass analysis, is obtained
To reality output data；
The prediction output data and the reality output data are compared, error information is obtained；
The data mining model is assessed according to multiple errors that multiple training, test obtain.
Preferably, repeatedly training, test and evaluation specifically wrap for the data mining model progress to the various dimensions
It includes:
Cuit and output project are set according to the data mining model；The cuit include patient information,
Check information, diagnostic message and medical expense information；The output project includes sickness influence because sublist, Analysis of prevalence arrange
Table, genius morbi list or cost impacts list of factors include project information and corresponding probabilistic information in the list；
According to obtaining corresponding medical data in business intelligence data library described in the cuit and preset quantity；
The medical data got is inputted into the data mining model, the data mining model is to the doctor
After treatment data are handled, output data is exported according to the output project；
Increase the preset quantity, repeatedly training is carried out to the data mining model and test, obtains multiple output numbers
According to；
The multiple output data is compared and analyzed, according to the analysis result to the data mining model into
Row assessment.
Preferably, the method also includes:
Update hospital information system database, laboratory information system database and the image archiving of the medical platform
With the medical data in communication system data library；
The Data Analysis Model and the data mining model are instructed according to the updated medical data
Practice, test and evaluation.
Preferably, the default form of expression is one of line chart, bar chart, sector diagram, scatter plot and table
Or it is a variety of.
A kind of data processing method for medical platform provided in an embodiment of the present invention passes through Data Analysis Model reality
Now to the multidimensional analysis of the different angle of medical data, divide from medical personal from different visual angles convenient for administration of health
Analysis problem, also, new valuable information can be found out from existing data by Data Analysis Model, it such as predicts, retouches
It states, clusters, classification, analysis of Influential Factors, Study on Relative Factors etc. are realized and analyzed more attribute synthesis of medical data.
Detailed description of the invention
Fig. 1 is a kind of data processing method flow chart for medical 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.
Data processing method provided in an embodiment of the present invention for medical platform can be applied to multiple hospitals in region
Medical platform, according to accordingly to medical control decision, medical diagnosis and scientific research demand and analysis demand, design business dimension
Degree and index dimension carry out multidimensional analysis and digging to data to establish multidimensional data analysis model and data mining model
Pick, and analysis result and Result are shown by diversified forms.Fig. 1 is a kind of use provided in an embodiment of the present invention
In the data processing method flow chart of medical platform, as shown in Figure 1, comprising:
Step 101, multiple hospital information system database, the laboratory information system data for obtaining medical platforms of difference
Medical data in library, 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 authorization and use
The platform of the functional requirement at family.
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, obtaining the hospital information system number of each hospital respectively by the data-interface of each hospital in region
According to the medical data in library, laboratory information system database and image archiving and communication system data library, need to illustrate
Being includes but is not limited to above-mentioned hospital information system database, laboratory information system number in the acquisition database of medical data
According to library, image archiving and three kinds of communication system data library database.Those skilled in the art can according to need to the area
The quantity of domain and hospital is set.
Step 102, corresponding preset rules are obtained according to the type of database, according to preset rules to corresponding
Medical data carries out Data Integration, establishes platform data warehouse according to the medical data after integration；
The database of each type corresponds to different preset rules, includes saving format, knot to data in preset rules
Structure and the requirement of type etc., that is to say, that return for hospital information system database, laboratory information system database, image
Medical data in shelves and communication system data library is respectively adopted corresponding preset rules and carries out Data Integration, and according to whole
Medical data after conjunction establishes platform data warehouse.
Step 103, data pick-up, conversion and load are carried out to the medical data in platform data warehouse, obtains business intelligence
It can database；
Data pick-up, which refers to from platform data warehouse, extracts the data that purpose data source systems need；Data conversion refers to
By the data obtained from source data source according to business demand, it is converted into the form of purpose data source requirement, and to wrong, different
The data of cause are cleaned and are processed；Data load, which refers to, is loaded into purpose data source for the data after conversion.
The purpose of the process is responsible for data such as relation data, flat data file will be distributed, in heterogeneous data source
It cleaned, converted, integrated etc. being drawn into after interim middle layer, be finally loaded into data warehouse or Data Mart, i.e. business intelligence
In energy database, become the basis of on-line analytical processing, data mining.
After this, described that medical control decision, medical diagnosis and scientific research demand are analyzed, obtain the first business
Dimension, the first index dimension and the second business dimension, the second index dimension.
Wherein, the first business dimension, the first index dimension are analyzed for data, the second business dimension, the second index dimension
For data mining, the first business dimension and the second business dimension can be the same or different, and those skilled in the art can be with
It is set as needed.
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, for example medical number quality operation management decision is corresponding
Analysis indexes can accept theme, operation theme, anesthesia theme for medical treatment to be hospitalized；The analysis indexes of human resources decision can be achievement
Imitate theme, business information, essential information theme；The analysis indexes of financial decision can be medical income theme, medical treatment cost
Theme；The analysis indexes of handling of goods and materials decision can be medical supplies theme, Medical Devices theme, logistical materials theme；Service
The analysis indexes of decision can accept prediction theme, average length of hospitalization prediction theme for medical treatment to be hospitalized；The analysis of real time clinical decision refers to
Mark can be real time clinical decision, clinic diagnosis theme, medical quality control theme；The analysis indexes of clinical path can be
Clinical path, common index monitor theme, clinical path and non-clinical path comparison theme, Single diseases key implementation path are supervised
Control theme；The analysis indexes of scientific research 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 feelings of registering
Condition prediction, medical situation prediction, situation of paying a home visit prediction, the prediction of diagnosis situation, the prediction of discharge situation, the prediction of discharge day situation, danger
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, bed have enough to meet the need day again
The prediction of number situation, consultation time analysis；Medical diagnosis the second index corresponding with scientific research class can be disease etiological analysis, disease
Kind forecast analysis, patient mode's identification, concurrent disease association analysis, intelligent prescription recommendation, medication combinatory analysis, epidemic monitoring
Analysis, narco analysis, drug abnormal response analysis, state of an illness EVOLUTION ANALYSIS；Medical diagnosis and the second index of scientific research class can be
Disease etiological analysis, disease forecast analysis, patient mode's identification, concurrent disease association analysis, intelligent prescription recommendation, medication group
Close analysis, Analysis on Epidemic Surveillance, narco analysis, drug abnormal response analysis, state of an illness EVOLUTION ANALYSIS；The second of financial management class
Index can be cost early warning analysis, medical department cost forecast analysis, project cost forecast analysis, disease cost accounting forecast analysis, institute
The analysis of grade forecasting of cost, department's income forecast analysis, project income forecast analysis, disease income forecast analysis, institute-level income are pre-
Survey analysis, medical insurance 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.
Step 104, it is analyzed according to the data that the first business dimension of medical platform and the first index dimension establish various dimensions
Model；
Specifically, each first index dimension can establish the Data Analysis Model of a dimension, thus according to medical treatment
First business dimension of platform and the first index dimension establish the OLAP data analysis model of various dimensions.
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
Analysis model carries out repeatedly training, test and evaluation, and is constantly optimized to model according to training, test and evaluation result,
And then the Data Analysis Model of multiple various dimensions after being optimized.
Step 105, data point are carried out to the medical data in business intelligence data library according to the Data Analysis Model of multidimensional
Analysis, obtains multidimensional data analysis result；
After obtaining the Data Analysis Model of multiple various dimensions using a large amount of data training Optimized model, region pipe
Reason personnel can according to need selection Data Analysis Model, and the analysis of the data to be analyzed is selected in business intelligence data library
Range selects medical data according to data area, and inputs selected Data Analysis Model, to obtain data analysis knot
Fruit.OLAP data analysis major function be to data carry out collect statistics and calculate, different from common static statement outside, base
In the dynamic statement of OLAP technology, realizes the data analysis inquiry of multi-angle, be convenient for administration of health and medical personal from difference
Visual angle carry out problem analysis.
Step 106, the data mining of various dimensions is established according to the second business dimension of medical platform and the second index dimension
Model；
Data mining model major function be for particular analysis theme, using advanced data mining and statistical technique,
Find out new valuable information from existing data, such as predict, describe, cluster, classification, analysis of Influential Factors, it is related because
Element analysis etc., data mining provides a kind of multiattribute comprehensive analysis method.Specifically, each second index dimension is equal
The data mining model of a dimension can be established, to build according to the second business dimension of medical platform and the second index dimension
The data mining model of vertical various dimensions.
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, no
There is different training test methods with data mining model, 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 that second time period is determined in a specific example according to the second business dimension service in output project
It is to register situation prediction model that the corresponding second index dimension of plan class, which is the data mining model that situation prediction is established of registering, function
Can for prediction future Y Qi Ge department situation of registering, then the cuit set as the number of registering of each department of history X phase,
X is period first time, and output project is the number of registering of future Y Qi Ge department, and Y is second time period；According to input
Project and period first time obtain corresponding medical data in business intelligence data library；The medical data that will acquire
Input data mining model, data mining model obtain prediction output data after handling medical data, the prediction is defeated
It out further include confidence interval in data.After obtaining prediction output data, obtained according to output project and second time period
Corresponding medical data, and Macro or mass analysis is carried out, obtain reality output data；It will prediction output data and reality output number
According to comparing, error information is obtained；Data mining model is commented according to multiple errors that multiple training, test obtain
Estimate and optimizes.This method is suitable for service and decision-making class data mining model, and service and decision-making class data mining model is specific as follows
Shown in table 1.
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 includes patient's letter
Breath checks information, diagnostic message and medical expense information；Output project includes sickness influence because sublist, Analysis of prevalence arrange
Table, genius morbi list or cost impacts list of factors include project information and corresponding probabilistic information in list；According to
Corresponding medical data is obtained in cuit and preset quantity business intelligence data library；The medical data that will acquire is defeated
Enter data mining model, after data mining model handles medical data, output data is exported according to output project；Increase
Add preset quantity, repeatedly training is carried out to data mining model and test, obtains multiple output datas；By multiple output datas
It compares and analyzes, data mining model is assessed based on the analysis results.This method is suitable for medical diagnosis and scientific research
Shown in class data mining 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
Step 107, data are carried out to the medical data in business intelligence data library according to the data mining model of various dimensions
It excavates, obtains multidimensional data mining result；
After obtaining the data mining model of multiple various dimensions using a large amount of data training Optimized model, region pipe
Reason personnel can according to need selection data mining model, and the analysis of the data to be excavated is selected in business intelligence data library
Range selects medical data according to data area, and inputs selected data mining model, to obtain data mining knot
Fruit.
Step 108, multidimensional data analysis result and multidimensional data mining result are opened up according to the default form of expression
Show.
Multidimensional data analysis result and multidimensional data mining result can by trend line chart, bar chart, sector diagram,
One of scatter plot, instrument board, radar map and table or it is a variety of be shown, intuitively with should be readily appreciated that.
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, Jin Ergen
Data Analysis Model and data mining model are trained according to updated medical data, test and evaluation, are thus improved excellent
Change Data Analysis Model and data mining model, obtains more accurate data.
A kind of data processing method for medical platform provided in an embodiment of the present invention passes through Data Analysis Model reality
Now to the multidimensional analysis of the different angle of medical data, divide from medical personal from different visual angles convenient for administration of health
Analysis problem, also, new valuable information can be found out from existing data by Data Analysis Model, it such as predicts, retouches
It states, clusters, classification, analysis of Influential Factors, Study on Relative Factors etc. are realized and analyzed more attribute synthesis of medical data.
Professional should further appreciate that, each example described in conjunction with the examples disclosed in this document
Unit and algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly say
The interchangeability of bright hardware and software, in the above description according to function generally describe it is each it is exemplary composition and
Step.These functions are implemented in hardware or software actually, the specific application and design constraint depending on technical solution
Condition.Professional technician can use different methods to achieve the described function each specific application, but this
Kind is realized and be 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
Software module or the combination of the two implement.Software module can be placed in random access memory, and (RA is for medical platform
Data processing method), memory, the read-only memory data processing method of medical platform (RO be used for), electrically programmable RO is for curing
Treat the data processing method of platform, electrically erasable RO for the data processing method of medical platform, register, hard disk,
Moveable magnetic disc, CD-RO are for any other form known in the data processing method or technical field of medical platform
Storage medium in.
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 used to limit this hair the foregoing is merely a specific embodiment of the invention
Bright protection scope, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should all
It is included within protection scope of the present invention.
Claims (8)
1. a kind of data processing method for medical platform, which is characterized in that the described method includes:
Obtain respectively the hospital information system databases of multiple medical platforms, laboratory information system database, image archiving and
Medical data in communication system data library；
Obtain corresponding preset rules according to the type of database, according to the preset rules to corresponding medical data into
Row Data Integration establishes platform data warehouse according to the medical data after the integration；
Data pick-up, conversion and load are carried out to the medical data in the platform data warehouse, obtain business intelligence data library；
The Data Analysis Model of various dimensions is established according to the first business dimension of the medical platform and the first index dimension；
Data analysis is carried out to the medical data in the business intelligence data library according to the Data Analysis Model of multidimensional, is obtained more
Dimension data analyzes result；
The data mining model of various dimensions is established according to the second business dimension of the medical platform and the second index dimension；
Data mining is carried out to the medical data in the business intelligence data library according to the data mining model of various dimensions, is obtained
Multidimensional data mining result；
The multidimensional data analysis result and multidimensional data mining result are shown according to the default form of expression.
2. the data processing method according to claim 1 for medical platform, which is characterized in that described to described flat
Medical data in platform data warehouse carries out data pick-up, conversion and load, after obtaining business intelligence data library, the method
Further include:
Medical control decision, medical diagnosis and scientific research demand are analyzed, first business dimension, the first index dimension are obtained
Degree and the second business dimension, the second index dimension.
3. the data processing method according to claim 2 for medical platform, which is characterized in that described according to
First business dimension of medical platform and the first index dimension are established after the Data Analysis Model of various dimensions, and the method is also wrapped
It includes:
Corresponding medical number is obtained in the business intelligence data library according to first business dimension and the first index dimension
According to；
Repeatedly training, test and evaluation are carried out to the Data Analysis Model according to the medical data.
4. the data processing method according to claim 2 for medical platform, which is characterized in that described according to
Second business dimension of medical platform and the second index dimension are established after the data mining model of various dimensions, and the method is also wrapped
It includes:
Repeatedly training, test and evaluation are carried out to the data mining model of the various dimensions.
5. the data processing method according to claim 4 for medical platform, which is characterized in that described to the multidimensional
The data mining model of degree carries out repeatedly training, test and evaluation and specifically includes:
Cuit and output project are set according to the data mining model；The cuit includes period first time,
The output project includes second time period；
Corresponding medical treatment is obtained in the business intelligence data library according to the cuit and period first time
Data；
The medical data got is inputted into the data mining model, the data mining model is to the medical data
Prediction output data is obtained after being handled；The prediction output data includes confidence interval；
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；
The data mining model is assessed according to multiple errors that multiple training, test obtain.
6. the data processing method according to claim 4 for medical platform, which is characterized in that described to the multidimensional
The data mining model of degree carries out repeatedly training, test and evaluation and specifically includes:
Cuit and output project are set 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 obtaining corresponding medical data in business intelligence data library described in the cuit and preset quantity；
The medical data got is inputted into the data mining model, the data mining model is to the medical data
After being handled, output data is exported according to the output project；
Increase the preset quantity, repeatedly training is carried out to the data mining model and test, obtains multiple output datas；
The multiple output data is compared and analyzed, the data mining model is commented according to the analysis result
Estimate.
7. the data processing method according to claim 1 for medical platform, which is characterized in that the method is also wrapped
It includes:
Update hospital information system database, laboratory information system database and image archiving and the communication of the medical platform
Medical data in system database；
The Data Analysis Model and the data mining model are trained according to the updated medical data, tested
With assessment.
8. the data processing method according to claim 1 for medical platform, which is characterized in that the default performance shape
Formula is one of line chart, bar chart, sector diagram, scatter plot and table or a variety of.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201910250740.3A CN110119432B (en) | 2019-03-29 | 2019-03-29 | Data processing method for medical platform |
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| CN201910250740.3A CN110119432B (en) | 2019-03-29 | 2019-03-29 | Data processing method for medical platform |
Publications (2)
| Publication Number | Publication Date |
|---|---|
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