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Computational Psychiatry Research Map (CPSYMAP): A New Database for Visualizing Research Papers
- 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.
- Subjects :
- Open science
medicine.medical_specialty
Computer science
lcsh:RC435-571
RDoC = Research Domain Criteria
computer.software_genre
Field (computer science)
DSM-5
Scientific evidence
neuroscience
03 medical and health sciences
0302 clinical medicine
Multidisciplinary approach
lcsh:Psychiatry
medicine
Methods
open-science
Psychiatry
database
Computational neuroscience
Database
computational psychiatry
030227 psychiatry
Visualization
Psychiatry and Mental health
computer
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 16640640
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Frontiers in Psychiatry
- Accession number :
- edsair.doi.dedup.....48ccae8f8532933c3d99c070847c04c9