SMART HEART – HEART DISEASE FORECAST USING MACHINE LEARNING

Abstract

As of late, AI plays had a huge impact in the medical
care industry and among the significant sicknesses,
coronary illness is all one of the huge and most basic
sicknesses to foresee. There is a quick expansion in the
quantity of cases every day. It has been seen that in
each moment, 4 individuals between the age gathering
of 30-50 get a stroke, so we are utilizing AI
calculations to relieve this issue. Kaggle utilized the
coronary illness dataset utilized for this venture. The
use of a variety of machine learning classification
algorithms, including Naive Bayes, Random Forest,
SVM, and others, is demonstrated in this paper for the
prediction of heart disease. also, thinks about their
exactness scores. Later on, we use the Stacking
Ensemble Learning Technique to improve the
performance of our classification models