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INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

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Paper Title
Using Machine learning to detect cardiovascular diseases
Authors
  Prabhleen kaur saini

Abstract
The intersection of medical science and technology is the need of the hour. Deaths due to cardiac problems has sky rocketed over the past few years. Hence, monitoring the proper functioning of our heart becomes necessary. Although clinical testing is available but it fails to utilize large amount of patient records and data generated. Leveraging medical data, we can create trustworthy systems that can make detection of cardiac problems easier and economical. Machine learning helps to achieve this goal, it enables us to analyse patient records and infer patterns that helps to conclude whether someone has cardiovascular disease or not. In this paper we aim to find the best machine learning model by comparing different models as well as find parameters that are of utmost importance in deciding whether or not someone has cardiovascular diseases.

Keywords- cardiovascular diseases, machine learning, logistic regression
Publication Details
Unique Identification Number - IJEDR2003046
Page Number(s) - 296-302
Pubished in - Volume 8 | Issue 3 | September 2020
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Prabhleen kaur saini,   "Using Machine learning to detect cardiovascular diseases", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.8, Issue 3, pp.296-302, September 2020, Available at :http://www.ijedr.org/papers/IJEDR2003046.pdf
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