AutoPrognosis 2.0: Democratizing diagnostic and prognostic modeling in healthcare with automated machine learning

Diagnostic and prognostic models are increasingly important in medicine and inform many clinical decisions. Recently, machine learning approaches have shown improvement over conventional modeling techniques by better capturing complex interactions between patient covariates in a data-driven manner....

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Autores principales:	Fergus Imrie, Bogdan Cebere, Eoin F. McKinney, Mihaela van der Schaar
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Public Library of Science (PLoS) 2023-06-01
Colección:	PLOS Digital Health
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287005/?tool=EBI
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