Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia.

Md Merajul IslamMd Jahangir AlamMd ManiruzzamanN A M Faisal AhmedMd Sujan AliMd Jahanur RahmanDulal Chandra Roy

Published in: PloS one (2023)

The proposed framework provides an effective tool for accurately predicting individuals in Ethiopia who are at risk for developing HTN at an early stage and may help with early prevention and individualized treatment.

Keyphrases

early stage
blood pressure
machine learning
physical activity
squamous cell carcinoma
risk factors
radiation therapy
lymph node