摘要
电子病历中冠心病危险因素是临床医生对患者进行风险评估的基础和关键。针对非结构化的中文电子病历中冠心病危险因素自动化抽取的实际需求,将危险因素分为两类,分别使用长短期记忆网络LSTM与规则的方法,并对500例临床科室住院患者的电子病历进行实验测试,正确率达85.1%,验证了方法的可行性。
The risk factors for coronary heart disease in electronic medical records are the basis and key for clinicians to assess patients’risk.In view of the actual needs of automated extraction of risk factors for coronary heart disease in unstructured Chinese electronic medical records,risk factors were divided into two categories,using long-and short-term memory network LSTM and regular methods,and electronic medical records of 500 clinical inpatients.The experimental test was carried out with a correct rate of 85.1%,which verified the feasibility of the method.
作者
杨晓辉
毕雪华
陈曲
高颖
张琳琳
YANG Xiao-hui;BI Xue-hua;CHEN Qu(School of Information,Xinjiang University,Urumqi 830046,Xinjiang Uygur Autonomous Region,P.R.C.)
出处
《中国数字医学》
2020年第3期92-94,共3页
China Digital Medicine
基金
新疆维吾尔自治区自然科学基金(编号:2017D01C232)。
关键词
冠心病
危险因素
LSTM
规则
电子病历
coronary heart disease
risk factors
LSTM
rule
electronic medical record
