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Updated: Dec 27, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Machine learning methods in psychiatry: a brief introduction
Zhirou Zhou1, Tsung-Chin Wu2, Bokai Wang1
1Department of Biostatistics and Computational Biology, University of Rochester, Rochester, New York, USA.
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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