Machine Learning-Based Ensemble Approach for Heart Disease Prediction

The heart is a vital organ found in all sentient beings and is central to sustaining life by ensuring the circulation of blood throughout the body. Given its importance, even minor malfunctions or errors in its operation can lead to serious and potentially fatal consequences. Therefore, the early diagnosis and accurate prognosis of heart disease are critical to saving lives. However, despite technological advancements in medical science, the rate of mortality associated with cardiovascular diseases continues to increase at an alarming pace globally.Early and accurate detection is crucial not only for heart diseases but also for other life-threatening conditions such as lung cancer. Lung cancer remains one of the leading causes of death worldwide, and its early detection could significantly lower associated mortality rates. It is essential to recognize that both lung and heart diseases often develop silently, manifesting noticeable symptoms only in advanced stages. Therefore, identifying reliable indicators or biomarkers early on becomes a pivotal strategy in healthcare.

Autorentext

Dr. Hardik M.Patel is a distinguished faculty member at VSITR,Kadi, Constituent Institute of KSV Gandhinagar, Specializing in Computer Engineering With over more then 14 years of academic and research experience, He has published extensively in reputed journals and guided numerous students at the undergraduate and postgraduate levels.