Machine learning methods in psychiatry: A brief introduction

22Citations
Citations of this article
41Readers
Mendeley users who have this article in their library.

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.

Author supplied keywords

Cite

CITATION STYLE

APA

Zhou, Z., Wu, T. C., Wang, B., Wang, H., Tu, X. M., & Feng, C. (2020). Machine learning methods in psychiatry: A brief introduction. General Psychiatry, 33(1). https://doi.org/10.1136/gpsych-2019-100171

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free