Abstract

According to the world health organization (WHO) cardiovascular diseases (CVDs) are the leading cause of death globally. This paper examines and explores different methodological contribution in the detection and prediction of CVDs. This paper mainly covers the ways of applicability of the approaches, domain of applicability, results, advantages, challenges and limitations. It also investigated the datasets from different repository. The exploration clearly discusses the major challenges along with the suggestive measures. The results indicate the combination of approaches and it may vary according to the symptoms and its nature.

Keyword

CVD, SVM, DT, LR, KNN.

Cite this article

Jauhari B, Dubey A, Zuber M

Refference

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