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Machine learning methods in psychiatry: a brief introduction.


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.

SUBMITTER: Zhou Z 

PROVIDER: S-EPMC7003370 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Machine learning methods in psychiatry: a brief introduction.

Zhou Zhirou Z   Wu Tsung-Chin TC   Wang Bokai B   Wang Hongyue H   Tu Xin M XM   Feng Changyong C  

General psychiatry 20200203 1


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. ...[more]

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