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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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Principais autores: Ekaba Bisong, Noor Jibril, Preethi Premnath, Elsy Buligwa, George Oboh, Adanna Chukwuma
פורמט: Artigo
שפה:Inglês
יצא לאור: BMC 2024-08-01
סדרה:BMC Medical Informatics and Decision Making
נושאים:
Noncommunicable diseases
Hypertension
Machine learning
Explainable models
Low- and middle-income countries
STEPwise approach
גישה מקוונת:https://doi.org/10.1186/s12911-024-02634-9
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