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

Osahon Jeffery AsowataAkinkunmi Paul OkekunleOnoja Matthew AkpaAdekunle Gregory FakunleJoshua Odunayo AkinyemiMorenikeji Adeyoyin KomolafeFred Stephen SarfoAlbert AkpaluReginald ObiakoKolawole W WahabGodwin OsaigbovoLukman OwolabiCarolyn JenkinsBenedict N L Calys-TagoeOyedunni S ArulogunGodwin O OsaigbovoOkechukwu Samuel OgahLambert Tetteh AppiahPhilip IbinaiyePhilip B AdebayoArti SinghSunday AdeniyiYaw MensahRuth LaryeaOlayemi BalogunInnocent Ijezie ChukwuonyeRufus Olusola AkinyemiBruce OvbiageleMayowa 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