Machine learning methods in psychiatry: a brief introduction

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 resear...

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Autores principales: Zhou, Zhirou, Wu, Tsung-Chin, Wang, Bokai, Wang, Hongyue, Tu, Xin M, Feng, Changyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Biostatistical Methods in Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7003370/
https://www.ncbi.nlm.nih.gov/pubmed/32090196
http://dx.doi.org/10.1136/gpsych-2019-100171
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author Zhou, Zhirou
Wu, Tsung-Chin
Wang, Bokai
Wang, Hongyue
Tu, Xin M
Feng, Changyong
author_facet Zhou, Zhirou
Wu, Tsung-Chin
Wang, Bokai
Wang, Hongyue
Tu, Xin M
Feng, Changyong
author_sort Zhou, Zhirou
collection PubMed
description 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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spelling pubmed-70033702020-02-21 Machine learning methods in psychiatry: a brief introduction Zhou, Zhirou Wu, Tsung-Chin Wang, Bokai Wang, Hongyue Tu, Xin M Feng, Changyong Gen Psychiatr Biostatistical Methods in Psychiatry 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. BMJ Publishing Group 2020-02-03 /pmc/articles/PMC7003370/ /pubmed/32090196 http://dx.doi.org/10.1136/gpsych-2019-100171 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Biostatistical Methods in Psychiatry
Zhou, Zhirou
Wu, Tsung-Chin
Wang, Bokai
Wang, Hongyue
Tu, Xin M
Feng, Changyong
Machine learning methods in psychiatry: a brief introduction
title Machine learning methods in psychiatry: a brief introduction
title_full Machine learning methods in psychiatry: a brief introduction
title_fullStr Machine learning methods in psychiatry: a brief introduction
title_full_unstemmed Machine learning methods in psychiatry: a brief introduction
title_short Machine learning methods in psychiatry: a brief introduction
title_sort machine learning methods in psychiatry: a brief introduction
topic Biostatistical Methods in Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7003370/
https://www.ncbi.nlm.nih.gov/pubmed/32090196
http://dx.doi.org/10.1136/gpsych-2019-100171
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AT wangbokai machinelearningmethodsinpsychiatryabriefintroduction
AT wanghongyue machinelearningmethodsinpsychiatryabriefintroduction
AT tuxinm machinelearningmethodsinpsychiatryabriefintroduction
AT fengchangyong machinelearningmethodsinpsychiatryabriefintroduction

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