• Shreya Agrawal
• Malay P Doshi
• Urvi Kanade
• Devaki Upadhyay
• Prof. K Jayamalini

Artificial Intelligence techniques have been successfully employed in disease diagnosis, disease risk evaluation, patient monitoring, robotic handling of surgeries and predicting effect of new medicines. This paper proposes and evaluates Neural Networks for diagnosing Hypertension risk. Risk factors viz. Systolic and Diastolic Blood Pressure, Body Mass Index, Heart Rate, Cholesterol, Glucose, Stress, Diet have been taken as inputs to the system. The system classifies the input samples and predicts whether heart disease is present or absent. The results of proposed system have been compared with Neural Network in terms of Accuracy, Mean Square Error and Regression and found better. This qualitative approach is then integrated with genetic algorithm to diagnose the presence of the disease.

ANN,GA

"ANN based Heart Disease Prediction System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.219-225, April-2019, Available :http://www.jetir.org/papers/JETIR1904433.pdf

"ANN based Heart Disease Prediction System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp219-225, April-2019, Available at : http://www.jetir.org/papers/JETIR1904433.pdf