• Aishwarya Mishra
• Dayashankar Singh

The term "heart disease" is frequently used substitutably with the word "cardiovascular disease." This hazardous disorder is become challenging for every individual in our modern society. In medical science, it is very crucial to diagnose but this critical task that must be performed efficiently and effectively. Nowadays Deep learning techniques have become very popular for time series prediction and warning alerts for various heart diseases in order to take timely precautions. In this review paper, we have tried to provide some most recent methods that are used in heart disease prediction viz, LSTM, CART, Neural Network, Naive Bayes.

Deep Learning; Time Series Prediction; Neural Network.

"PERFORMANCE APPRAISAL OF VARIOUS HEART DISEASES PREDICTION: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.682-687, May-2019, Available :http://www.jetir.org/papers/JETIR1905G99.pdf

"PERFORMANCE APPRAISAL OF VARIOUS HEART DISEASES PREDICTION: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp682-687, May-2019, Available at : http://www.jetir.org/papers/JETIR1905G99.pdf