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Publication: IIP Proceedings Year: 2022, Month: November Page No: 237-242, ISSN/ISBN: 978-93-95632-70-6, DOI/Link: https://www.rsquarel.org/assets/docupload/rsl20238EA12462239E0E0.pdf
CARDIO–VASCULAR DISEASE PREDICTION USING MACHINE LEARNING
Area/Stream: Artificial Intelligence, Authors: Dr. Jyothi A P, Prakruthi L, Shilpa H H Keywords: Machine Learning (ML); Cardiovascular; Decision tree; Kneighbors classifier; Logistic regression; Accuracy. Book Name /series: Futuristic Trends in Artificial Intelligence, Volume 2, Book 16, Chapter 24Publication: IIP Proceedings Year: 2022, Month: November Page No: 237-242, ISSN/ISBN: 978-93-95632-70-6, DOI/Link: https://www.rsquarel.org/assets/docupload/rsl20238EA12462239E0E0.pdf
Abstract:
The heart is an important organ that pumps blood through the arteries and veins called the cardiovascular system. Many people die because of heart disease. In this paper, we are using some machine learning algorithms such as decision trees, K-neighbors classifier & logistic regression to predict cardiovascular disease. To get the best accuracy we are comparing the features of these algorithms.
Cite this: Dr. Jyothi A P, Prakruthi L, Shilpa H H,"CARDIO–VASCULAR DISEASE PREDICTION USING MACHINE LEARNING", Futuristic Trends in Artificial Intelligence, Volume 2, Book 16, Chapter 24, November, 2022, 237-242, 978-93-95632-70-6, https://www.rsquarel.org/assets/docupload/rsl20238EA12462239E0E0.pdf
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