Comparing variable and feature selection strategies for prediction - protocol of a simulation study in low-dimensional transplantation data.

The integration of machine learning methodologies has become prevalent in the development of clinical prediction models, often suggesting superior performance compared to traditional statistical techniques. Within the scope of low-dimensional datasets, encompassing both classical and machine learnin...

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Autors principals:	Linard Hoessly, Jaromil Frossard, Simon Schwab, Frédérique Chammartin, Alexander Leichtle, Peter Werner Schreiber, Dionysios Neofytos, Michael Koller, with the Swiss Transplant Cohort Study (STCS)
Format:	Artigo
Idioma:	Inglês
Publicat:	Public Library of Science (PLoS) 2025-01-01
Col·lecció:	PLoS ONE
Accés en línia:	https://doi.org/10.1371/journal.pone.0328696
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