Development of Clinical Phenotype Extraction and Application Based on Electronic Medical Records (EMR) Data

VernacularTitle:基于电子病历数据的临床表型提取及其应用进展
Author: fang Yu WEI ¹ ; Wei SHI ; juan Yu SHANG ; li Li SHI ; cheng Jian DONG ; qun Hui WU ; Kui JIANG
Author Information

1. 南通大学医学信息学系南通226001
Keywords: Diabetes; Electronic Medical Records (EMR); Clinical phenotype; Clinical decision support; Machine learning
From: Journal of Medical Informatics 2017;38(8):6-10
CountryChina
Language:Chinese
Abstract: Based on the introduction to the clinical phenotype extraction technique,the paper conducts systematic review on the extraction of clinical phenotype from Electronic Medical Records (EMR) of diabetes by taking advantages of the clinical decision support technique,natural language processing technique and machine learning method,and indicates that the deep learning method can be used to extract clinical phenotype from the EMR data more effectively and accurately,help clinical researchers better conduct clinical tests,and improve the medical care level.