Rise of the machines? Machine learning approaches and mental health: opportunities and challenges

被引：17

作者：

Tiffin, Paul A. ^{[1
,2
]}

Paton, Lewis W. ^{[1
]}

机构：

[1] Univ York, Dept Hlth Sci, Seebohm Rowntree Bldg, Heslington YO10 5DD, England

[2] Univ York, Dept Hlth Sci, Psychometr Epidemiol, Heslington, England

来源：

BRITISH JOURNAL OF PSYCHIATRY | 2018年 / 213卷 / 03期

关键词：

Machine learning; mental health services; personlised medicine; diagnosis; prediction;

D O I：

10.1192/bjp.2018.105

中图分类号：

R749 [精神病学];

学科分类号：

100205 ;

摘要：

Machine learning methods are being increasingly applied to physical healthcare. In this article we describe some of the potential benefits, challenges and limitations of this approach in a mental health context. We provide a number of examples where machine learning could add value beyond conventional statistical modelling.Declaration of interestNone.

引用

页码：509 / 510

页数：2

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