Angina Classification

Angina Classification (Heart Attack Discovery)

Developed a machine learning model for classifying angina and predicting heart attacks based on patient data. Utilized advanced algorithms and statistical techniques to analyze medical records and identify patterns indicative of heart conditions. The model integrates features such as patient demographics, medical history, and diagnostic tests to provide accurate risk assessments and support early detection of potential heart attacks. This project aims to enhance preventive care and improve patient outcomes through timely and precise diagnosis.