Deep learning for the prediction of treatment response in depression
Journal article
Squarcina, L., Villa, F.M., Nobile, M., Grisan, E. and Brambilla, P. (2021). Deep learning for the prediction of treatment response in depression. Journal of Affective Disorders. 281, pp. 618-622. https://doi.org/10.1016/j.jad.2020.11.104
Authors | Squarcina, L., Villa, F.M., Nobile, M., Grisan, E. and Brambilla, P. |
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Abstract | Background: Mood disorders are characterized by heterogeneity in severity, symptoms and treatment response. The possibility of selecting the correct therapy on |
Year | 2021 |
Journal | Journal of Affective Disorders |
Journal citation | 281, pp. 618-622 |
Publisher | Elsevier |
ISSN | 0165-0327 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.jad.2020.11.104 |
Publication dates | |
15 Feb 2021 | |
Publication process dates | |
Accepted | 13 Nov 2020 |
Deposited | 04 Feb 2021 |
Accepted author manuscript | License File Access Level Open |
https://openresearch.lsbu.ac.uk/item/8vzw8
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