Creating sparser prediction models of treatment outcome in depression: a proof-of-concept study using simultaneous feature selection and hyperparameter tuning

BACKGROUND: Predicting treatment outcome in major depressive disorder (MDD) remains an essential challenge for precision psychiatry. Clinical prediction models (CPMs) based on supervised machine learning have been a promising approach for this endeavor. However, only few CPMs have focused on model s...

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Detalles Bibliográficos
Autores principales: Rost, Nicolas, Brückl, Tanja M., Koutsouleris, Nikolaos, Binder, Elisabeth B., Müller-Myhsok, Bertram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9284749/
https://www.ncbi.nlm.nih.gov/pubmed/35836174
http://dx.doi.org/10.1186/s12911-022-01926-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9284749/
https://www.ncbi.nlm.nih.gov/pubmed/35836174
http://dx.doi.org/10.1186/s12911-022-01926-2

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