Machine learning methods for analyzing genomic and phenomic data in psychiatry
https://doi.org/10.31363/2313-7053-2019-4-1-127
Abstract
This review briefly describes modern approaches of data analysis in psychiatry using machine learning and gives possible prospects and common obstacles of this approach.
About the Author
T. I. Nurgaliev
Laboratory of Neuroscience and Molecular Pharmacology, Institute of Translational Biomedicine
Russian Federation
Russian Federation
Review
For citations:
Nurgaliev T.I. Machine learning methods for analyzing genomic and phenomic data in psychiatry. V.M. BEKHTEREV REVIEW OF PSYCHIATRY AND MEDICAL PSYCHOLOGY. 2019;(4-1):127. (In Russ.) https://doi.org/10.31363/2313-7053-2019-4-1-127
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