Advanced machine learning methods in psychiatry: an introduction

Mental health questions can be tackled through machine learning (ML) techniques. Apart from the two ML methods we introduced in our previous paper, we discuss two more advanced ML approaches in this paper: support vector machines and artificial neural networks. To illustrate how these ML methods hav...

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Autores principales: Wu, Tsung-Chin, Zhou, Zhirou, Wang, Hongyue, Wang, Bokai, Lin, Tuo, Feng, Changyong, Tu, Xin M
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/PMC7076259/
https://www.ncbi.nlm.nih.gov/pubmed/32215364
http://dx.doi.org/10.1136/gpsych-2020-100197
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author Wu, Tsung-Chin
Zhou, Zhirou
Wang, Hongyue
Wang, Bokai
Lin, Tuo
Feng, Changyong
Tu, Xin M
author_facet Wu, Tsung-Chin
Zhou, Zhirou
Wang, Hongyue
Wang, Bokai
Lin, Tuo
Feng, Changyong
Tu, Xin M
author_sort Wu, Tsung-Chin
collection PubMed
description Mental health questions can be tackled through machine learning (ML) techniques. Apart from the two ML methods we introduced in our previous paper, we discuss two more advanced ML approaches in this paper: support vector machines and artificial neural networks. To illustrate how these ML methods have been employed in mental health, recent research applications in psychiatry were reported.
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spelling pubmed-70762592020-03-25 Advanced machine learning methods in psychiatry: an introduction Wu, Tsung-Chin Zhou, Zhirou Wang, Hongyue Wang, Bokai Lin, Tuo Feng, Changyong Tu, Xin M Gen Psychiatr Biostatistical Methods in Psychiatry Mental health questions can be tackled through machine learning (ML) techniques. Apart from the two ML methods we introduced in our previous paper, we discuss two more advanced ML approaches in this paper: support vector machines and artificial neural networks. To illustrate how these ML methods have been employed in mental health, recent research applications in psychiatry were reported. BMJ Publishing Group 2020-03-16 /pmc/articles/PMC7076259/ /pubmed/32215364 http://dx.doi.org/10.1136/gpsych-2020-100197 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
Wu, Tsung-Chin
Zhou, Zhirou
Wang, Hongyue
Wang, Bokai
Lin, Tuo
Feng, Changyong
Tu, Xin M
Advanced machine learning methods in psychiatry: an introduction
title Advanced machine learning methods in psychiatry: an introduction
title_full Advanced machine learning methods in psychiatry: an introduction
title_fullStr Advanced machine learning methods in psychiatry: an introduction
title_full_unstemmed Advanced machine learning methods in psychiatry: an introduction
title_short Advanced machine learning methods in psychiatry: an introduction
title_sort advanced machine learning methods in psychiatry: an introduction
topic Biostatistical Methods in Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7076259/
https://www.ncbi.nlm.nih.gov/pubmed/32215364
http://dx.doi.org/10.1136/gpsych-2020-100197
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