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 PDF

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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
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China
Prior art keywords
module
data
edit model
natural language
text
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CN201810213193.7A
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Chinese (zh)
Inventor
任思远
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Suzhou Di Mag Technology Co Ltd
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Suzhou Di Mag Technology Co Ltd
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Priority to CN201810213193.7A priority Critical patent/CN108492849A/en
Publication of CN108492849A publication Critical patent/CN108492849A/en
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT 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

Distributed medical natural language text cloud processing system based on edit model
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.
CN201810213193.7A 2018-03-15 2018-03-15 Distributed medical natural language text cloud processing system based on edit model Pending CN108492849A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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

Patent Citations (4)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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

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