Abstract Machine learning techniques will help in deriving hidden knowledge from clinical data which can be of great benefit for society, such as reduce the number of clinical trials required tor precise diagnosis of a disease of a person etc. Various areas of study are available in healthcare domain like cancer, diabetes, drugs etc. This paper focuses on heart disease dataset and how machine learning techniques can help in understanding the level of risk associated with heart diseases. Initially, data is preprocessed then analysis is done
V. Dominic, Dr. Deepa Gupta, and Khare, S., “An Effective Performance Analysis of Machine Learning Techniques for Cardiovascular Disease”, Applied Medical Informatics, vol. 36, p. 23, 2015.