Heart disease detection using machine learning methods: a comprehensive narrative review

Abstract

Background and Objective: Heart disease is one of the diseases that is responsible for the death of millions of people each year worldwide. It is considered one of the main diseases in middle-aged and elderly people. The increasing rate of heart disease cases, high mortality rate, and medical treatment expenses necessitate early diagnosis of symptoms. The aim of this study is to conduct an extensive review of various state-of-the-art methods in heart disease detection and to perform a comparative analysis of their outcomes.

Topics & Concepts