CN108492849A - Distributed medical natural language text cloud processing system based on edit model - Google Patents
Distributed medical natural language text cloud processing system based on edit model Download PDFInfo
- Publication number
- CN108492849A CN108492849A CN201810213193.7A CN201810213193A CN108492849A CN 108492849 A CN108492849 A CN 108492849A CN 201810213193 A CN201810213193 A CN 201810213193A CN 108492849 A CN108492849 A CN 108492849A
- Authority
- CN
- China
- Prior art keywords
- module
- data
- edit model
- natural language
- text
- 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
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
Abstract
The invention discloses the distributed medical natural language text cloud processing systems based on edit model, including edit model system, application template module, client's case module and cloud development platform module;The edit model system is the software systems for generating simultaneously editing template;The application template module is used under specific application scene for defining data source, processing mode, the file of execution sequence and user interface;Client's case module according to customer demand on the basis of application template for defining the application example file that relevant parameter obtains;The cloud development platform module cloud open platform is a distributed data processing platform for being located at high in the clouds, the data source that can be defined according to client's case file, processing mode, the specifications such as execution sequence and user interface, import the data of text data and basic database, handled with the function of text-processing algorithms library, and export handling result for show on a user interface.
Description
Technical field
The distributed medical natural language text cloud processing system based on edit model that the present invention relates to a kind of.
Background technology
Widely used health and fitness information technology results in the unprecedentedly inflated of electric health record (EHR) data.Electronic health record
Data not only have been used to support clinical manipulation task (for example, Clinical Decision Support Systems), while can also support a variety of face
Bed Task.Many important patient informations are dispersed in narrative medical text, but most computer application can only
Understand structural data.Therefore, patient information clinic natural language processing important in medical text can be extracted
(ClinicalNLP) technology has been introduced in medical field, and there is many applications in which show great effectiveness.
Invention content
In view of the above-mentioned problems, a kind of distributed medical natural language text cloud processing system based on edit model of the present invention
System, including edit model system, application template module, client's case module and cloud development platform module;The edit model
System is the software systems for generating simultaneously editing template;The application template module is used under specific application scene for fixed
Adopted data source, processing mode, the file of execution sequence and user interface;Client's case module is used on application template basis
On the application example file that relevant parameter obtains defined according to customer demand;The cloud development platform module cloud open platform is one
A distributed data processing platform positioned at high in the clouds, the data source that can be defined according to client's case file, processing mode execute
The specifications such as sequence and user interface, import the data of text data and basic database, with the function of text-processing algorithms library
Handled, and export handling result for show on a user interface.
Further, the handling result module is for generating handling result.
Further, further include handling result module, the handling result module includes Gender, year for handling
Age, classification of diseases, every Index for examination and recovery marker handling result and generate corresponding pie chart and scatter plot.
Further, the text data module is used to generate the unstructured data of natural language composition.
Further, the basic data library module is for generating the expert data for having realized structuring.
Further, the text-processing algorithm library module is handled text data by corresponding algorithm.
Further, further include Cluster Analysis module, the Cluster Analysis module is right for analyzing sample data
Associated data are classified automatically.
Further, further include high in the clouds detection terminal, the high in the clouds detection terminal is used to be detected cloud processing data,
When detecting data exception, wrong data is carried out to report feedback.
Further, include the following steps, pass through edit model system, application template module and client's case module first
Database, processing mode, parameter and the way of output are defined, it is then right on arithmetic facility by cloud development platform module
Code is parsed, and then summarizes result by handling result module, visual data are finally passed through user circle
Face mould block is presented to user terminal.
The beneficial effects of the invention are as follows:Unstructured medical data can be collected, handled and be summarized, and terminal into
Row display.
Accompanying drawing content
Fig. 1 is the module signal of the distributed medical natural language text cloud processing system the present invention is based on edit model
Figure.
Fig. 2 is the flow signal of the distributed medical natural language text cloud processing system the present invention is based on edit model
Figure.
Fig. 3 is the operation of the distributed medical natural language text cloud processing system embodiment the present invention is based on edit model
Logic chart.
Specific implementation mode
Fig. 1 is the module signal of the distributed medical natural language text cloud processing system the present invention is based on edit model
Figure.
Distributed medical natural language text cloud processing system based on edit model, including edit model system 1, application
Formwork module 2, client's case module 3 and cloud development platform module 4;The edit model system 1 is for generating and editing
The software systems of template;The application template module 2 is used for for defining data source under specific application scene, processing mode,
The file of execution sequence and user interface;Client's case module 3 is used for fixed according to customer demand on the basis of application template
The application example file that adopted relevant parameter obtains;The 4 cloud open platform of cloud development platform module is a point for being located at high in the clouds
Cloth data processing platform (DPP), the data source that can be defined according to client's case file, processing mode, execution sequence and user interface
Etc. specifications, import text data and basic database data, handled with the function of text-processing algorithms library, and export
Handling result is for showing on a user interface.
Wherein, further include handling result module 5, the handling result module 5 for handle include Gender, the age,
Classification of diseases, every Index for examination and recovery marker handling result and generate corresponding pie chart and scatter plot.
Wherein, further include subscriber interface module 6, the subscriber interface module 6 is used to generate at user terminal interface visual
Change data.
Wherein, further include text data module 7, the text data module 7 is used to generate the non-knot of natural language composition
Structure data.
Wherein, further include basic data library module 8, the basic data library module 8 has realized structuring for generating
Expert data.
Wherein, further include text-processing algorithm library module 9, the text-processing algorithm library module 9 passes through corresponding algorithm
Text data is handled.
Wherein, further include Cluster Analysis module, the Cluster Analysis module is for analyzing sample data, to correlation
The data of connection are classified automatically.
Wherein, further include high in the clouds detection terminal, the high in the clouds detection terminal is used to be detected cloud processing data, works as inspection
When measuring data exception, wrong data is carried out to report feedback.
Fig. 2 is the flow signal of the distributed medical natural language text cloud processing system the present invention is based on edit model
Figure, includes the following steps, first by edit model system 1, application template module 2 and client's case module 3 to database, place
Reason mode, parameter and the way of output are defined, and are then solved to code on arithmetic facility by cloud development platform module 4
Analysis, then result is summarized, be in by subscriber interface module 6 by visual data finally by handling result module 5
Now arrive user terminal.
Fig. 3 is the operation of the distributed medical natural language text cloud processing system embodiment the present invention is based on edit model
Logic chart, to the present invention for the disease data table of structuring, including Gender, at the age, classification of diseases, items, which check, to be referred to
Mark, recovery marker etc., the present invention defines output category pie chart and scatter plot embodiment is as follows:
1. by the pie chart of diagnostic result classification:
AddPieChart (DataSource1, Group1, " Class ")
2. by the pie chart of first visit initial cell number classification:
AddPieChart (DataSource1, Group2, " Num ")
3. by age making scatter plot with first visit initial cell number:
AddScatterPlot (DataSource1, Group2, Group3)
For disease A, it is as follows that we define one group of example:
DataSource1=" MDS cases "
Group1=" parting "
Group2=" first visit initial cell number "
Group3=" age "
For disease B, we define another group of parameter:
DataSource1=" physical examination case "
Group1=" diagnosis "
Group2=" glycosylated hemoglobin "
Group3=" age "
As shown in Figure 3:Include the following steps:Operation starts first, by 2 definition template of application template module, from corresponding
Database in obtain instance parameter, then running example generates datagram by cloud development platform module 4, then passes through place
Reason object module 5 summarizes the result of generation, and visual data are presented to user's end by subscriber interface module 6
End, end of run.
The present invention is not only limited to above-mentioned specific implementation mode, is carried out to principles and features of the present invention below in conjunction with attached drawing
Description, the given examples are served only to explain the present invention, is not intended to limit the scope of the present invention.
According to the present disclosure, it is real that other a variety of specific implementation modes may be used in persons skilled in the art
The present invention is applied, therefore, every design concept using the present invention and thinking do some simple designs changed or change, all
Fall into the scope of protection of the invention.
Claims (9)
1. the distributed medical natural language text cloud processing system based on edit model, it is characterised in that:Including edit model
System (1), application template module (2), client's case module (3) and cloud development platform module (4);The edit model system
(1) be for generate and editing template software systems;The application template module (2) under specific application scene for being used for
Define data source, processing mode, the file of execution sequence and user interface;Client's case module (3) is used for using mould
The application example file that relevant parameter obtains is defined according to customer demand on the basis of plate;Cloud development platform module (4) cloud is opened
It is a distributed data processing platform for being located at high in the clouds, the data source that can be defined according to client's case file, place to be laid flat platform
Reason mode, the specifications such as execution sequence and user interface, imports the data of text data and basic database, is calculated with text-processing
The function of Faku County is handled, and export handling result for show on a user interface.
2. the distributed medical natural language text cloud processing system according to claim 1 based on edit model, special
Sign is:Further include handling result module (5), the handling result module (5) includes Gender, age, disease for handling
Disease classification, every Index for examination and recovery marker handling result and generate corresponding pie chart and scatter plot.
3. the distributed medical natural language text cloud processing system according to claim 2 based on edit model, special
Sign is:Further include subscriber interface module (6), the subscriber interface module (6) is used to generate at user terminal interface and visualize
Data.
4. the distributed medical natural language text cloud processing system according to claim 3 based on edit model, special
Sign is:Further include text data module (7), the text data module (7) is used to generate the non-structural of natural language composition
Change data.
5. the distributed medical natural language text cloud processing system according to claim 4 based on edit model, special
Sign is:Further include basic data library module (8), the basic data library module (8) has realized the special of structuring for generating
Industry data.
6. the distributed medical natural language text cloud processing system according to claim 5 based on edit model, special
Sign is:Further include text-processing algorithm library module (9), the text-processing algorithm library module (9) passes through corresponding algorithm pair
Text data is handled.
7. the distributed medical natural language text cloud processing system according to claim 6 based on edit model, special
Sign is:Further include Cluster Analysis module, the Cluster Analysis module is for analyzing sample data, to associated number
According to classifying automatically.
8. the distributed medical natural language text cloud processing system according to claim 7 based on edit model, special
Sign is:Further include high in the clouds detection terminal, the high in the clouds detection terminal is used to be detected cloud processing data, when detecting number
According to it is abnormal when, wrong data is carried out to report feedback.
9. the distributed medical natural language text cloud processing system according to claim 8 based on edit model, special
Sign is:Include the following steps, passes through edit model system (1), application template module (2) and client's case module (3) first
Database, processing mode, parameter and the way of output are defined, then by cloud development platform module (4) in arithmetic facility
On code is parsed, then result is summarized by handling result module (5), finally passes through visual data
Subscriber interface module (6) is presented to user terminal.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810213193.7A CN108492849A (en) | 2018-03-15 | 2018-03-15 | Distributed medical natural language text cloud processing system based on edit model |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810213193.7A CN108492849A (en) | 2018-03-15 | 2018-03-15 | Distributed medical natural language text cloud processing system based on edit model |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108492849A true CN108492849A (en) | 2018-09-04 |
Family
ID=63339343
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810213193.7A Pending CN108492849A (en) | 2018-03-15 | 2018-03-15 | Distributed medical natural language text cloud processing system based on edit model |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108492849A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109451062A (en) * | 2018-12-21 | 2019-03-08 | 广东粤众互联信息技术有限公司 | A kind of distributed platform development approach that height is customized |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102819656A (en) * | 2011-06-10 | 2012-12-12 | 中国科学院深圳先进技术研究院 | System and method for generating electronic medical record |
CN102819655A (en) * | 2011-06-10 | 2012-12-12 | 中国科学院深圳先进技术研究院 | System and method for presenting electronic medical records |
US20140100885A1 (en) * | 2002-10-29 | 2014-04-10 | David E. Stern | Method and system for automated medical records processing with cloud computing |
CN107103195A (en) * | 2017-04-17 | 2017-08-29 | 桂林大创科技有限公司 | Based on the intelligentized patient medical data's system in high in the clouds and its method for building up |
-
2018
- 2018-03-15 CN CN201810213193.7A patent/CN108492849A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140100885A1 (en) * | 2002-10-29 | 2014-04-10 | David E. Stern | Method and system for automated medical records processing with cloud computing |
CN102819656A (en) * | 2011-06-10 | 2012-12-12 | 中国科学院深圳先进技术研究院 | System and method for generating electronic medical record |
CN102819655A (en) * | 2011-06-10 | 2012-12-12 | 中国科学院深圳先进技术研究院 | System and method for presenting electronic medical records |
CN107103195A (en) * | 2017-04-17 | 2017-08-29 | 桂林大创科技有限公司 | Based on the intelligentized patient medical data's system in high in the clouds and its method for building up |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109451062A (en) * | 2018-12-21 | 2019-03-08 | 广东粤众互联信息技术有限公司 | A kind of distributed platform development approach that height is customized |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US7437266B2 (en) | Time-series data analyzing apparatus | |
US9430616B2 (en) | Extracting clinical care pathways correlated with outcomes | |
US10191956B2 (en) | Event detection and characterization in big data streams | |
CN111145844A (en) | Comprehensive medical supervision platform | |
US20130238363A1 (en) | Medical examination assistance system and method of assisting medical examination | |
CN109313648B (en) | System and method for modeling free-text clinical documents into hierarchical graphical data structures based on semantic relationships | |
Elgendi et al. | The performance of deep neural networks in differentiating chest X-rays of COVID-19 patients from other bacterial and viral pneumonias | |
US20060288029A1 (en) | Sentence classification device and method | |
JP5683280B2 (en) | Medical support system | |
Roy et al. | Early prediction of COVID-19 using ensemble of transfer learning | |
WO2017017554A1 (en) | Reliability measurement in data analysis of altered data sets | |
CN111243753A (en) | Medical data-oriented multi-factor correlation interactive analysis method | |
CN112071432A (en) | Method, system, medium, and apparatus for analyzing medical data | |
CN108447047A (en) | Acid-fast bacilli detection method and device | |
CN110739075A (en) | COPD disease auxiliary diagnosis monitoring system based on big data | |
Alhazmi | Detection of WBC, RBC, and platelets in blood samples using deep learning | |
CN108780472A (en) | The context filtering of laboratory evaluation | |
CN114334175A (en) | Hospital epidemic situation monitoring method and device, computer equipment and storage medium | |
CN108492849A (en) | Distributed medical natural language text cloud processing system based on edit model | |
Altiparmak et al. | Information mining over heterogeneous and high-dimensional time-series data in clinical trials databases | |
Ghnemat et al. | Explainable Artificial Intelligence (XAI) for deep learning based medical imaging classification | |
CN111383726B (en) | Electronic medical record data processing method and device, electronic equipment and readable medium | |
Huff et al. | Evaluation and verification of the global rapid identification of threats system for infectious diseases in textual data sources | |
Arowolo et al. | Detection of COVID-19 from Chest X-Ray Images using CNN and ANN Approach | |
US8756234B1 (en) | Information theory entropy reduction program |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180904 |
|
RJ01 | Rejection of invention patent application after publication |