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.
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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
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