Efficient Diagnosing Method for Heart Disease Using Deep Learning

Heart Disease(HD) is one of the most serious health issue that attacks people age from 65 and older has symptoms are palpitations, loss conscious, abnormal heart beats it also can attack younger who going through lots stress, over weight chest pain so on. Diagnosing disease manually less efficient mostly not accurate. Machine Learning (ML) helps efficiently in early prediction Attack. In this paper we have used LSTM (Long Short Term Memory) a Deep Technique to diagonise attack. complicated as important task, needs be executed accurately efficiently. This system HD which supervised learning low computation.