Predicting high blood pressure using machine learning models in low- and middle-income countries

Abstract Responding to the rising global prevalence of noncommunicable diseases (NCDs) requires improvements in the management of high blood pressure. Therefore, this study aims to develop an explainable machine learning model for predicting high blood pressure, a key NCD risk factor, using data fro...

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Autori principali:	Ekaba Bisong, Noor Jibril, Preethi Premnath, Elsy Buligwa, George Oboh, Adanna Chukwuma
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	BMC 2024-08-01
Serie:	BMC Medical Informatics and Decision Making
Soggetti:	Noncommunicable diseases Hypertension Machine learning Explainable models Low- and middle-income countries STEPwise approach
Accesso online:	https://doi.org/10.1186/s12911-024-02634-9
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