Sensor Data Analysis and Management

10 Coronary Illness Prediction Using the AdaBoost Algorithm

G. Deivendran, S. Vishal Balaji, B. Paramasivan, S. Vimal (Corresponding Author)

National Engineering College, Tamil Nadu, India

10.1 Introduction

Diseases may be defined as a range of conditions that affect the normal functioning of the body. Diseases can be divided into four main categories, which include genetic disease, infectious disease, deficiency disease, and physiological disease. Among these categories, heart disease, also known as cardiac disease, falls under the category physiological disease. There are many risk factors that lead to the malfunctioning of the heart, which include smoking, lifestyle, blood pressure, etc. [1] Heart diseases include heart failure, heart attack, arrhythmia, artery diseases, rhythm problems, etc. Heart disease has become one of the most serious health issues worldwide. According to a recent survey by the World Health Organization, 35% of global deaths in a year are due to cardiac illness. Out of these, 85% are due to heart attacks and strokes. India occupies 56th position, with 14% of total deaths owing to heart diseases.

Clinical diagnosis of heart diseases includes examination of the patient with symptoms and the available test results by a medical practitioner. The results of blood samples, electrocardiograph, echo, treadmill, and angiography are used to diagnose the diseases [2]. The accuracy of manual diagnosis is subject to the knowledge and experience of the cardiologist ...