Machine learning methods in psychiatry: a brief introduction

Hongyue Wang et al · Wiley · 2020

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Author / responsible party

Hongyue Wang et al

Publisher

Wiley

Year

2020

ISSN

2517-729X

ISSN

2517-729X

Language

English

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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.

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APA 7

al, H. W. E. (2020). Machine learning methods in psychiatry: a brief introduction. https://doi.org/10.1136/gpsych-2019-100171

MLA

al, Hongyue Wang et. "Machine learning methods in psychiatry: a brief introduction." 2020. https://doi.org/10.1136/gpsych-2019-100171.

Chicago

al, Hongyue Wang et. 2020. "Machine learning methods in psychiatry: a brief introduction.". https://doi.org/10.1136/gpsych-2019-100171.

Harvard

al, H. W. E. 2020, Machine learning methods in psychiatry: a brief introduction, Wiley, available at: https://doi.org/10.1136/gpsych-2019-100171 [Accessed 5 Aug. 2026].

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Title: Machine learning methods in psychiatry: a brief introduction

Author / contributors: Hongyue Wang et al

Publisher: Wiley

Publication year: 2020

ISSN: 2517-729X

ISSN: 2517-729X

Language: English