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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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Detalles Bibliográficos
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:
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
Descripción
Sumario: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.