[Machine learning and its epidemiological applications].

Journal: Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
PMID:

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.

Authors

  • H J Lin
    Xiangya School of Public Health, Central South University, Hunan Key Laboratory of Clinical Epidemiology, Changsha 410078, China.
  • X L Wang
    Department of Radiology, People's Hospital of Qinghai Province, Xining 810000, China.
  • M Y Tian
    Xiangya School of Public Health, Central South University, Hunan Key Laboratory of Clinical Epidemiology, Changsha 410078, China.
  • X L Li
    College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China.
  • H Z Tan
    Xiangya School of Public Health, Central South University, Hunan Key Laboratory of Clinical Epidemiology, Changsha 410078, China.