Explainable machine learning predictions to support personalized cardiology strategies

AIMS: A widely practiced intervention to modify cardiac health, the effect of physical activity on older adults is likely heterogeneous. While machine learning (ML) models that combine various systemic signals may aid in predictive modelling, the inability to rationalize predictions at a patient per...

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Detalles Bibliográficos
Autores principales: Loh, De Rong, Yeo, Si Yong, Tan, Ru San, Gao, Fei, Koh, Angela S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708009/
https://www.ncbi.nlm.nih.gov/pubmed/36713989
http://dx.doi.org/10.1093/ehjdh/ztab096

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708009/
https://www.ncbi.nlm.nih.gov/pubmed/36713989
http://dx.doi.org/10.1093/ehjdh/ztab096

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