Predicting control of cardiovascular disease risk factors in South Asia using machine learning

Abstract A substantial share of patients at risk of developing cardiovascular disease (CVD) fail to achieve control of CVD risk factors, but clinicians lack a structured approach to identify these patients. We applied machine learning to longitudinal data from two completed randomized controlled tri...

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Autors principals:	Anna Reuter, Mohammed K. Ali, Viswanathan Mohan, Lydia Chwastiak, Kavita Singh, K. M. Venkat Narayan, Dorairaj Prabhakaran, Nikhil Tandon, Nikkil Sudharsanan
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2024-12-01
Col·lecció:	npj Digital Medicine
Accés en línia:	https://doi.org/10.1038/s41746-024-01353-9
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