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Interpretable Machine Learning of High-Dimensional Aging Health Trajectories

We have built a computational model of individual aging trajectories of health and survival, that contains physical, functional, and biological variables, and is conditioned on demographic, lifestyle, and medical background information. We combine techniques of modern machine learning with an interp...

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Detalles Bibliográficos
Autores principales:	Farrell, Spencer, Mitnitski, Arnold, Rockwood, Kenneth, Rutenberg, Andrew
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2021
Materias:	Abstracts
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8681571/ http://dx.doi.org/10.1093/geroni/igab046.2534

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