Efficient machine learning based detection of heart disease

Published: Oct 1, 2019
Abstract
This paper describes a method to detect possible heart disease using the Random Forests algorithm. Cardiovascular diseases are the number 1 cause of death globally - an estimated 17.9 million people died from it in 2016. This machine learning work contributes to healthcare and can detect heart disease on the basis of clinical data and test data from different patients. The result and contribution of this paper is to identify whether a patient...
Paper Details
Title
Efficient machine learning based detection of heart disease
Published Date
Oct 1, 2019
Journal
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.