Risk Assessment Score and χ 2 Automatic Interaction Detection Algorithm for Hypertension Among Africans: Models From the SIREN Study.

Osahon J Asowata Akinkunmi Paul Okekunle Onoja Matthew Akpa Adekunle Gregory Fakunle Joshua Odunayo Akinyemi Morenikeji Adeyoyin Komolafe Fred Stephen Sarfo Albert Akpalu Reginald Obiako Kolawole W WahabGodwin OsaigbovoLukman OwolabiCarolyn Jenkins Benedict N L Calys-Tagoe Oyedunni S Arulogun Godwin O Osaigbovo Okechukwu Samuel Ogah Lambert Tetteh Appiah Philip Ibinaiye Philip B Adebayo Arti Singh Sunday Adeniyi Yaw MensahRuth LaryeaOlayemi BalogunInnocent Ijezie Chukwuonye Rufus O Akinyemi Bruce Ovbiagele Mayowa Ojo Owolabi

Published in: Hypertension (Dallas, Tex. : 1979) (2023)

The novel risk assessment model discriminated hypertensives with good accuracy and will be helpful in the early identification of community-based Africans vulnerable to hypertension for its primary prevention.

Keyphrases

risk assessment
blood pressure
human health
deep learning
machine learning
heavy metals
loop mediated isothermal amplification
arterial hypertension
bioinformatics analysis