精神病学中的机器学习方法：简要介绍。
Machine learning methods in psychiatry: a brief introduction.
作者信息
Zhou Zhirou, Wu Tsung-Chin, Wang Bokai, Wang Hongyue, Tu Xin M, Feng Changyong
机构信息
Department of Biostatistics and Computational Biology, University of Rochester, Rochester, New York, USA.
Department of Mathematics, University of California San Diego, La Jolla, California, USA.
出版信息
Gen Psychiatr. 2020 Feb 3;33(1):e100171. doi: 10.1136/gpsych-2019-100171. eCollection 2020.
Abstract
Machine learning (ML) techniques have been widely used to address mental health questions. We discuss two main aspects of ML in psychiatry in this paper, that is, supervised learning and unsupervised learning. Examples are used to illustrate how ML has been implemented in recent mental health research.
摘要
机器学习（ML）技术已被广泛用于解决心理健康问题。在本文中，我们将讨论机器学习在精神病学中的两个主要方面，即监督学习和无监督学习。文中将通过实例来说明机器学习在近期心理健康研究中的应用方式。
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