Statistical models versus machine learning for competing risks: development and validation of prognostic models

BACKGROUND: In health research, several chronic diseases are susceptible to competing risks (CRs). Initially, statistical models (SM) were developed to estimate the cumulative incidence of an event in the presence of CRs. As recently there is a growing interest in applying machine learning (ML) for...

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Detalles Bibliográficos
Autores principales: Kantidakis, Georgios, Putter, Hein, Litière, Saskia, Fiocco, Marta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951458/
https://www.ncbi.nlm.nih.gov/pubmed/36829145
http://dx.doi.org/10.1186/s12874-023-01866-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951458/
https://www.ncbi.nlm.nih.gov/pubmed/36829145
http://dx.doi.org/10.1186/s12874-023-01866-z

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