Prediction of premature all-cause mortality: A prospective general population cohort study comparing machine-learning and standard epidemiological approaches

BACKGROUND: Prognostic modelling using standard methods is well-established, particularly for predicting risk of single diseases. Machine-learning may offer potential to explore outcomes of even greater complexity, such as premature death. This study aimed to develop novel prediction algorithms usin...

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Detalles Bibliográficos
Autores principales: Weng, Stephen F., Vaz, Luis, Qureshi, Nadeem, Kai, Joe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6436798/
https://www.ncbi.nlm.nih.gov/pubmed/30917171
http://dx.doi.org/10.1371/journal.pone.0214365

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6436798/
https://www.ncbi.nlm.nih.gov/pubmed/30917171
http://dx.doi.org/10.1371/journal.pone.0214365

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