PREDICTION OF HYPERPIESIS

Hyperpiesis, Commonly known as high blood pressure, is a major risk factor for cardiovascular diseases and premature mortality worldwide. Early detection and prevention are critical in reducing its health impact. This study explores the application of machine learning (ML) techniques to predict the likelihood of hypertension in individuals using clinical and demographic data. A variety of supervised learning algorithms, including Decision Tree, Random Forest were evaluated for their predictive performance.

Hersteller:	SIA OmniScriptum Publishing
Anschrift:	Brivibas gatve 197 LV-1039 Riga
Kontakt:	customerservice@vdm-vsg.de

Dr K Venkata Naganjaneyulu presently working as a professor of CSE Dept In Malla Reddy Engineering College For Women (Autonomous), Affiliated To Jntu, Hyderabad, Ts, India. He is having 25 yrs of teaching experience as a faculty in computer science/ information technology(Csit) Dept. among that he had 2 yrs of foreign teaching experience.