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HEART DIAGNOSTICS 2.0 THE HYBRID MACHINE LEARNING REVOLUTION is written by Dr. Shital A. Gawade and published by Ashok Yakkaldevi. It's available with International Standard Book Number or ISBN identification 1300687630 (ISBN 10) and 9781300687634 (ISBN 13).
1.1. Overview Heart disease is a widespread and serious health condition that impacts a significant portion of the global population. The most prevalent form of heart disease is coronary heart disease, which affects the coronary arteries responsible for supplying blood to the heart. This condition arises from the buildup of plaque within the arteries, leading to a condition called atherosclerosis. Atherosclerosis restricts the blood flow to the heart, potentially resulting in heart failure. The utilization of clinical machine learning techniques for predicting heart disease presents a complex challenge, but it holds immense potential for early identification and intervention. By identifying individuals at risk early on, healthcare professionals can administer timely interventions and preventive measures to mitigate the progression of the disease, improving patient outcomes and reducing the burden on healthcare systems.