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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

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