在临床医学和公共卫生领域,贝叶斯分类法已成为计算机辅助疾病诊断和疫情判别的主要方法之一,其相应的方法学和应用研究得到了较大的发展。本研究对贝叶斯分类法用于计算机辅助疾病诊断和疫情判别的原理与方法、应用现状、优点及各类算法间的比较等进行了综述。 In the fields of clinical medicine and public health, Bayesian classification has become one of the main methods of computer-aided disease diagnosis and epidemic discrimination. The corresponding methodological and applied researches have been greatly developed. In this study, the principles and methods of Bayesian classification for the diagnosis of computer-aided diseases and the identification of epidemics were reviewed. The status quo, advantages and advantages of Bayesian classification and comparison of various algorithms were reviewed.