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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...
Autores principales: | Kantidakis, Georgios, Putter, Hein, Litière, Saskia, Fiocco, Marta |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
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 |
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