Explainable machine learning framework to predict personalized physiological aging

Attaining personalized healthy aging requires accurate monitoring of physiological changes and identifying subclinical markers that predict accelerated or delayed aging. Classic biostatistical methods most rely on supervised variables to estimate physiological aging and do not capture the full compl...

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Detalles Bibliográficos
Autores principales: Bernard, David, Doumard, Emmanuel, Ader, Isabelle, Kemoun, Philippe, Pagès, Jean‐Christophe, Galinier, Anne, Cussat‐Blanc, Sylvain, Furger, Felix, Ferrucci, Luigi, Aligon, Julien, Delpierre, Cyrille, Pénicaud, Luc, Monsarrat, Paul, Casteilla, Louis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410015/
https://www.ncbi.nlm.nih.gov/pubmed/37300327
http://dx.doi.org/10.1111/acel.13872

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410015/
https://www.ncbi.nlm.nih.gov/pubmed/37300327
http://dx.doi.org/10.1111/acel.13872

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