Artificial Intelligence Based Coronary Heart Disease Prediction in Real-Time Scenarios

Globally, cardiovascular diseases, such as coronary heart disease, continue to be a major cause of mortality. Medical data analysis faces the challenging task of predicting the onset of cardiac illness. The use of machine learning algorithms in medical data analysis can aid healthcare professionals in making accurate and timely decisions in terms of diagnosis and treatment. By analyzing large datasets and identifying patterns, machine learning (ML) algorithms can help identify important features that are crucial for identifying cardiac disease. The use of six different ML classifiers in the study demonstrates the versatility of machine learning in predicting heart disease. By using multiple classification techniques and feature pairs, the prediction model can be optimized to accurately identify the disease in patients.