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Computational Psychiatry Research Map (CPSYMAP): A New Database for Visualizing Research Papers

Authors :
Ayaka Kato
Yoshihiko Kunisato
Kentaro Katahira
Tsukasa Okimura
Yuichi Yamashita
Source :
Frontiers in Psychiatry, Vol 11 (2020), Frontiers in Psychiatry
Publication Year :
2020
Publisher :
Frontiers Media S.A., 2020.

Abstract

The field of computational psychiatry is growing in prominence along with recent advances in computational neuroscience, machine learning, and the cumulative scientific understanding of psychiatric disorders. Computational approaches based on cutting-edge technologies and high-dimensional data are expected to provide an understanding of psychiatric disorders with integrating the notions of psychology and neuroscience, and to contribute to clinical practices. However, the multidisciplinary nature of this field seems to limit the development of computational psychiatry studies. Computational psychiatry combines knowledge from neuroscience, psychiatry, and computation; thus, there is an emerging need for a platform to integrate and coordinate these perspectives. In this study, we developed a new database for visualizing research papers as a two-dimensional “map” called the Computational Psychiatry Research Map (CPSYMAP). This map shows the distribution of papers along neuroscientific, psychiatric, and computational dimensions to enable anyone to find niche research and deepen their understanding ofthe field.

Details

Language :
English
ISSN :
16640640
Volume :
11
Database :
OpenAIRE
Journal :
Frontiers in Psychiatry
Accession number :
edsair.doi.dedup.....48ccae8f8532933c3d99c070847c04c9