Heart Disease Prediction Based on Age Detection using Novel Logistic Regression over Support Vector Machine

• Published in: Cardiometry no. 25; pp. 1711 - 1717
• Main Authors: Karthi, C B M, Kalaivani, A
• Format: Journal Article
• Language: English
• Published: Moscow Russian New University 01.12.2022
• Subjects: Accuracy; Age; Blood pressure; Cardiovascular disease; Data analysis; Datasets; Forecasting techniques; Heart; Information technology; Regression analysis; Statistical significance; Support vector machines; Variables

Aim: To improve the accuracy in Heart Disease Prediction using Novel Logistic Regression and Support Vector Machine. Materials and Methods: This study contains 2 groups i.e Novel Logistic Regression and Support Vector Machine. Each group consists of a sample size of 10 and the study parameters inclu...