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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Detalles Bibliográficos
Autores principales: Imrie, Fergus, Cebere, Bogdan, McKinney, Eoin F., van der Schaar, Mihaela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287005/
https://www.ncbi.nlm.nih.gov/pubmed/37347752
http://dx.doi.org/10.1371/journal.pdig.0000276

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287005/
https://www.ncbi.nlm.nih.gov/pubmed/37347752
http://dx.doi.org/10.1371/journal.pdig.0000276

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