机器学习及其流行病学应用

林慧君; 王小磊; 田梦圆; 李杏莉; 谭红专

Abstract

林慧君,王小磊,田梦圆,李杏莉,谭红专.机器学习及其流行病学应用[J].Chinese journal of Epidemiology,2021,42(9):1689-1694

机器学习及其流行病学应用

Machine learning and its epidemiological applications

Received:July 22, 2020

DOI：10.3760/cma.j.cn112338-20200722-00970

KeyWord: 机器学习算法流行病学

English Key Word: Machine learning Algorithms Epidemiology

FundProject:

Author Name	Affiliation	E-mail
Lin Huijun	Xiangya School of Public Health, Central South University, Hunan Key Laboratory of Clinical Epidemiology, Changsha 410078, China
Wang Xiaolei	Xiangya School of Public Health, Central South University, Hunan Key Laboratory of Clinical Epidemiology, Changsha 410078, China
Tian Mengyuan	Xiangya School of Public Health, Central South University, Hunan Key Laboratory of Clinical Epidemiology, Changsha 410078, China
Li Xingli	Xiangya School of Public Health, Central South University, Hunan Key Laboratory of Clinical Epidemiology, Changsha 410078, China
Tan Hongzhuan	Xiangya School of Public Health, Central South University, Hunan Key Laboratory of Clinical Epidemiology, Changsha 410078, China	tanhz99@qq.com

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Abstract:

机器学习作为人工智能的重要分支之一，广泛运用于各个领域。机器学习与经典统计学方法有相似之处，同时又能解决许多传统统计学难以处理的难题，因此是流行病学研究的重要工具之一。本文介绍了几种机器学习的常用算法，并对其特点和在流行病学研究中的应用进行了总结。读者可根据研究目的选择适当的机器学习方法，让机器学习技术更好地为流行病学研究服务。

English Abstract:

As an important branch of artificial intelligence, machine learning is widely used in various fields. Machine learning has similarity to classical statistical methods, but can solve many problems which are difficult for traditional statistics, so it is one of the important tools in epidemiological research. This paper introduced 9 common algorithms of machine learning and summarized their characteristics and applications in epidemiological research. Readers could choose appropriate machine learning method according to the research purpose for the better application of machine learning in epidemiological research.

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