AI-assisted prediction of differential response to antidepressant classes using electronic health records

Antidepressant selection is largely a trial-and-error process. We used electronic health record (EHR) data and artificial intelligence (AI) to predict response to four antidepressants classes (SSRI, SNRI, bupropion, and mirtazapine) 4 to 12 weeks after antidepressant initiation. The final data set c...

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Detalles Bibliográficos
Autores principales: Sheu, Yi-han, Magdamo, Colin, Miller, Matthew, Das, Sudeshna, Blacker, Deborah, Smoller, Jordan W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10133261/
https://www.ncbi.nlm.nih.gov/pubmed/37100858
http://dx.doi.org/10.1038/s41746-023-00817-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10133261/
https://www.ncbi.nlm.nih.gov/pubmed/37100858
http://dx.doi.org/10.1038/s41746-023-00817-8

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