Full Stack Web Application for Prediction and Diagnosis of Heart Disease/strong>
Authors:-Assistant Professor Ms. Dornadhula Danya, Suraj A U, Moju Kumar B L, Deepak Kumar Singh D, Shubhan GC
Abstract- In the modern era, Cardio-vascular disease has high prevalence and rate of mortality which proves how critical, identification and intervention strategies are, further highlighting the importance of incorporating this in developing heart disease prediction systems. The heart prediction system research revolves around using AI-driven techniques techniques to strengthen and make heart disease risk prediction robust and effective. The paper explains methodology, dataset characteristics, experimental setup, results and the design of the models in a AI-driven techniques heart prediction system. Additionally, the practical implications of the research output are discussed regarding the use of the system in real life for alleviating heart disease predictions and strategies.
