Heart Disease Prediction using Effective Machine Learning Techniques

TLDR

Heart disease causes about one death per minute worldwide, with incidence varying by region and age, and early onset remains a significant challenge. The study reviews various machine‑learning algorithms and tools for predicting heart disease.

Abstract

In today’s era deaths due to heart disease has become a major issue approximately one person dies per minute due to heart disease. This is considering both male and female category and this ratio may vary according to the region also this ratio is considered for the people of age group 25-69. This does not indicate that the people with other age group will not be affected by heart diseases. This problem may start in early age group also and predict the cause and disease is a major challenge nowadays. Here in this paper, we have discussed various algorithms and tools used for prediction of heart diseases.