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Method and system for extracting structured data of disease prognosis covariables

A structured data and covariate technology, applied in structured data retrieval, database indexing, neural learning methods, etc., can solve problems such as inability to be directly applied, and achieve the effects of good compatibility and portability, improved efficiency, and simple principles.

Active Publication Date: 2021-11-23
THE NAVAL MEDICAL UNIV OF PLA
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There is still a lack of a method for constructing a structured database of prognostic factors in the prior art. The data in this structured database can be directly used for data analysis to support application scenarios such as the analysis of clinical prognostic factors and the construction of prognostic models.
In this application scenario, existing named entity recognition methods cannot be directly applied

Method used

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  • Method and system for extracting structured data of disease prognosis covariables
  • Method and system for extracting structured data of disease prognosis covariables
  • Method and system for extracting structured data of disease prognosis covariables

Examples

Experimental program
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Effect test

Embodiment

[0042] Example Based on the discharge summary in the electronic medical records, construct a structured database of factors affecting the prognosis of ischemic stroke

[0043] The data used in this example mainly comes from the medical texts of the electronic medical records of a total of 6053 patients with ischemic stroke in Shanghai Changhai Hospital from 2009 to 2019.

[0044] The research platform is provided by the Military Health Statistics Department of the Naval Military Medical University and the Information Department of Shanghai Changhai Hospital. The server uses Windows Server 2008 R2 64-bit operating system, 8-core Intel(R) Xeon(R) CPU; the personal workstation uses Windows 10 64-bit operation System, 8-core Intel(R) Core(TM) i9-9900K CPU, NVIDIA GeForceRTX 2080 SUPER GPU. The software environment uses Python version 3.7, TensorFlow 1.10 and C#.

[0045] The purpose of this embodiment is to extract a structured database of factors (ie, covariates) that affect the...

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Abstract

The invention provides a method and a system for extracting structured data of a disease prognosis covariable based on an unstructured medical text, an intelligent terminal and a computer readable storage medium. According to the method, in different stages of data processing, the model with the best effect is adopted for data extraction, and the accuracy of database construction is improved. After the technical scheme is adopted, the extraction of the structured data can be completed only by inputting the name of the covariable. A structured database capable of being used for statistical analysis is extracted from Chinese medical texts which cannot be directly used for statistical analysis, and clinicians are helped to find potential disease prognosis influence factors from medical record texts. Therefore, the process of manually extracting covariables is omitted, and the method has good compatibility and portability and can be conveniently nested, developed and maintained on various platforms.

Description

technical field [0001] The present invention relates to the technical field of natural language processing, and in particular to a method, system, intelligent terminal and computer-readable storage medium for extracting structured data of disease prognosis covariates based on unstructured medical texts. Background technique [0002] Electronic medical records are a high-quality part of real-world big data. Electronic medical records have been rising since the beginning of the 21st century, and their usage rate was only 9% in 2008, but it has risen to 96% by 2015. Since electronic medical records replace traditional handwritten medical records, electronic medical records account for a large proportion of various types of real-world data. Compared with real-world data from multimedia such as the Internet, electronic medical record data are of higher quality. As of 2018, the Shanghai Municipal Health Commission's health record data platform alone has more than 10 million hospi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/295G06F16/22G06F16/21G06K9/62G06N3/04G06N3/08
CPCG06F40/295G06F16/211G06F16/22G06N3/08G06N3/045G06F18/214
Inventor 贺佳吴骋林振秦宇辰秦婴逸李冬冬王志勇何倩陈琪郭威郭轶斌
Owner THE NAVAL MEDICAL UNIV OF PLA
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