International Research Journal of Education and Technology

- In today's digital era, data is a valuable asset, and the healthcare industry generates vast amounts of information related to patients. Cardiovascular diseases are rapidly increasing due to busy and stressful lifestyles, affecting people of all age groups and necessitating early detection based on symptoms or medical reports. Early identification and treatment are crucial for reducing the risks associated with these chronic diseases. The primary objective of developing a heart disease prediction system is to assist doctors in cross-verifying their diagnoses, offering a promising solution to reduce mortality rates. Recent advancements in medical technologies, including data mining and deep learning, have played a vital role in detecting cardiovascular diseases by analyzing factors such as age, chest pain type, blood pressure, and cholesterol levels. Our proposed system aims to enhance medical care, lower costs, and provide significant insights for predicting heart disease, contributing to better health outcomes.adoption.

Key Words: Heart Disease Prediction, Cardiovascular Diseases, Data Mining, Deep Learning, Medical Technology, Early Detection, Healthcare Data, Risk Factors, Diagnosis Support, Cost Reduction, Patient Care.