COVID-19中国诊疗方案的机器学习智能分析方法  

Machine learning-based method for interpreting the guidelines of the diagnosis and treatment of COVID-19

作　　者：蒲晓蓉[1,2] 陈柯成 刘军池 文进[3] 郑尚维[3] 李鸿浩[3] PU Xiaorong;CHEN Kecheng;LIU Junchi;WEN Jin;ZHNENG Shangwei;LI Honghao(School of Computer Science and Engineering,University of Electronic Science and Technology of China,Chengdu 611731,P.R.China;Health Big Data Institute of Big Data Center,University of Electronic Science and Technology of China,Chengdu 611731,P.R.China;Institute of Hospital Management,West China Hospital,Sichuan University,Chengdu 610041,P.R.China)

机构地区：[1]电子科技大学计算机科学与工程学院,成都611731 [2]电子科技大学大数据中心健康医疗大数据研究所,成都611731 [3]四川大学华西医院医院管理研究所,成都610041

出　　处：《生物医学工程学杂志》2020年第3期365-372,共8页Journal of Biomedical Engineering

基　　金：四川大学华西医院新型冠状病毒肺炎疫情科技攻关项目(HX-2019-nCoV-023);四川省科技厅科技计划项目基金(2020YFS0119,2019JDKP0067);四川省科技厅软科学研究项目基金(2019JDR0144)。

摘　　要：2019年底暴发的新型冠状病毒肺炎(COVID-19)疫情是人类史上一次重大突发公共卫生事件。中国医学工作者在短时间内,经历了对该未知病毒的逐步认识、证据积累和临床实践。截至目前,中国国家卫生健康委员会在数十天内密集发布了七个版本的《新型冠状病毒感染的肺炎诊疗方案》(简称《诊疗方案》)。然而,快速准确地比较各版本的异同和掌握新版本的重点对临床医护人员和非专业人员来说存在一定困难。本文提出一种基于机器学习的计算机辅助智能分析方法,对文本主题进行无监督学习,自动分析不同版本《诊疗方案》的异同,主动给医护人员推送新版本的关注重点,降低《诊疗方案》解读的专业难度,提高非专业人员对诊疗方案的认识水平。实验证明,与人工解读方式相比较,本文方法能自动计算文本主题,实现主题的精准匹配,准确率达100%,并可自动生成关键词和语句级别的解读报告,实现《诊疗方案》的计算机自动智能解读。The outbreak of pneumonia caused by novel coronavirus(COVID-19)at the end of 2019 was a major public health emergency in human history.In a short period of time,Chinese medical workers have experienced the gradual understanding,evidence accumulation and clinical practice of the unknown virus.So far,National Health Commission of the People’s Republic of China has issued seven trial versions of the“Guidelines for the Diagnosis and Treatment of COVID-19”.However,it is difficult for clinicians and laymen to quickly and accurately distinguish the similarities and differences among the different versions and locate the key points of the new version.This paper reports a computer-aided intelligent analysis method based on machine learning,which can automatically analyze the similarities and differences of different treatment plans,present the focus of the new version to doctors,reduce the difficulty in interpreting the“diagnosis and treatment plan”for the professional,and help the general public better understand the professional knowledge of medicine.Experimental results show that this method can achieve the topic prediction and matching of the new version of the program text through unsupervised learning of the previous versions of the program topic with an accuracy of 100%.It enables the computer interpretation of“diagnosis and treatment plan”automatically and intelligently.

关 键 词：COVID-19 新型冠状病毒 人工智能 机器学习 诊疗方案 生物医学工程 

分 类 号：R563.1[医药卫生—呼吸系统] TP181[医药卫生—内科学]