Towards precision psychiatry utilizing large-scale multimodal data paving the way for improved prevention and treatment of mental disorders

Jonas Meisner; Simon Rasmussen; Michael E. Benros

doi:10.1016/j.nsa.2022.101017

Towards precision psychiatry utilizing large-scale multimodal data paving the way for improved prevention and treatment of mental disorders

Jonas Meisner, Simon Rasmussen, Michael E. Benros^*

^*Corresponding author for this work

Research output: Contribution to journal › Comment/debate › Research › peer-review

3 Citations (Scopus)

Original language	English
Article number	101017
Journal	Neuroscience Applied
Volume	2
ISSN	2772-4085
DOIs	https://doi.org/10.1016/j.nsa.2022.101017
Publication status	Published - Jan 2023

Keywords

Deep learning
Machine learning
Multimodal data
Precision psychiatry

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10.1016/j.nsa.2022.101017Licence: CC BY

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Cite this

@article{839fce34f4614863bb74efc27592f6a9,

title = "Towards precision psychiatry utilizing large-scale multimodal data paving the way for improved prevention and treatment of mental disorders",

keywords = "Deep learning, Machine learning, Multimodal data, Precision psychiatry",

author = "Jonas Meisner and Simon Rasmussen and Benros, {Michael E.}",

note = "Funding Information: The work was supported by unrestricted grants from the Lundbeck Foundation (grant number R278-2018-1411 and R380-2021-1225 ) and from the Novo Nordisk Foundation (grant number NNF14CC0001 ). The funders had no role in preparation, review, or approval of the manuscript or the decision to submit for publication.",

year = "2023",

month = jan,

doi = "10.1016/j.nsa.2022.101017",

language = "English",

volume = "2",

journal = "Neuroscience Applied",

issn = "2772-4085",

publisher = "Elsevier",

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T1 - Towards precision psychiatry utilizing large-scale multimodal data paving the way for improved prevention and treatment of mental disorders

AU - Meisner, Jonas

AU - Rasmussen, Simon

AU - Benros, Michael E.

N1 - Funding Information: The work was supported by unrestricted grants from the Lundbeck Foundation (grant number R278-2018-1411 and R380-2021-1225 ) and from the Novo Nordisk Foundation (grant number NNF14CC0001 ). The funders had no role in preparation, review, or approval of the manuscript or the decision to submit for publication.

PY - 2023/1

Y1 - 2023/1

KW - Deep learning

KW - Machine learning

KW - Multimodal data

KW - Precision psychiatry

U2 - 10.1016/j.nsa.2022.101017

DO - 10.1016/j.nsa.2022.101017

M3 - Comment/debate

AN - SCOPUS:85182275204

VL - 2

JO - Neuroscience Applied

JF - Neuroscience Applied

SN - 2772-4085

M1 - 101017

ER -