Lin H J, Wang X L, Tian M Y, Li X L, Tan H Z
Xiangya School of Public Health, Central South University, Hunan Key Laboratory of Clinical Epidemiology, Changsha 410078, China.
Zhonghua Liu Xing Bing Xue Za Zhi. 2021 Sep 10;42(9):1689-1694. doi: 10.3760/cma.j.cn112338-20200722-00970.
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.
作为人工智能的一个重要分支，机器学习在各个领域都有广泛应用。机器学习与经典统计方法有相似之处，但能解决许多传统统计学难以处理的问题，因此它是流行病学研究中的重要工具之一。本文介绍了9种常见的机器学习算法，并总结了它们的特点以及在流行病学研究中的应用。读者可根据研究目的选择合适的机器学习方法，以便更好地将机器学习应用于流行病学研究。
