A review on cardiac disease detection using various approaches

Abstract Disease prediction have become one of a common public health problem worldwide. Cardiac disease is more predominant among this which arises due to a lack of health awareness, poor lifestyle and unhealthy food style. Hence forth diagnosis becomes more challenging leading to active area of research. On the other hand, the amount of available information deems to deal with the appropriate decision-making. The medical parameters and analysis need leads to proper prediction of risk analysis. In this exploration, several algorithms and various factors that are well exposes is studied in this paper. We performed a study using existing approaches and the performance measures using standard metrics were presented here. With this aim the paper reveals on cardiac attack prediction detection capability as evaluated for predominant algorithms with reliable metrics.