Cardiovascular Disease Prediction Using Data Mining Techniques-Reference-Cited by-同舟云学术

Cardiovascular Disease Prediction Using Data Mining Techniques

Published:2019 Issue: Volume: Page:246-264
ISSN:
Container-title:Coronary and Cardiothoracic Critical Care
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Author:

Kadam Kalyani¹,Kamat Pooja Vinayak¹,Malav Amita P.¹

Affiliation:

1. Symbiosis International University (Deemed), India

Abstract

Cardiovascular diseases (CVDs) have turned out to be one of the life-threatening diseases in recent times. The key to effectively managing this is to analyze a huge amount of datasets and effectively mine it to predict and further prevent heart-related diseases. The primary objective of this chapter is to understand and survey various information mining strategies to efficiently determine occurrence of CVDs and also propose a big data architecture for the same. The authors make use of Apache Spark for the implementation.

Publisher

IGI Global

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