Paper Title
Heart Disease Prediction: Unveiling Insights with K-Nearest Neighbours Algorithm
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Registration ID: IJNRD_216905
Published ID: IJNRD2403650
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Keywords
Machine Learning, KNN, Heart disease, Prediction, Health care
Abstract
Heart disease remains a significant health challenge in India, with millions affected annually, highlighting the pressing need for accurate diagnosis and effective management strategies. This chronic condition, characterized by inadequate blood supply to the body due to coronary artery narrowing or blockage, presents diverse symptoms including fatigue, swelling, and shortness of breath. Despite advancements in medical technology, diagnosing and treating heart disease remains complex, particularly in underserved regions. Cardiovascular diseases continue to be a leading cause of mortality in India, underscoring the urgency for improved healthcare delivery. In parallel, healthcare systems in countries like Indonesia face challenges due to a shortage of medical professionals, prompting research into innovative solutions for patient monitoring. Data mining techniques have emerged as valuable tools in healthcare diagnosis, offering insights into disease prediction and management. Various algorithms, including CART, ID3, Naive Bayes, and KNN, have been explored in predicting heart disease with varying degrees of accuracy. This study proposes a novel approach to heart disease prediction using the K-nearest neighbors (KNN) algorithm with instant measurement parameters. By leveraging body vital signs that can be instantly measured, this approach eliminates the need for invasive procedures, offering real-time monitoring particularly beneficial for home-based patient care. This innovative strategy aligns with advancements in patient monitoring technologies, aiming to enhance healthcare outcomes and reduce the burden of heart disease on the Indian healthcare system.
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How To Cite (APA)
C.Sameera Anjum, B.Umme Salma, C.Baby, K.Navitha, & P.Shahinaz (March-2024). Heart Disease Prediction: Unveiling Insights with K-Nearest Neighbours Algorithm. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), g422-g426. https://ijnrd.org/papers/IJNRD2403650.pdf
Issue
Volume 9 Issue 3, March-2024
Pages : g422-g426
Other Publication Details
Paper Reg. ID: IJNRD_216905
Published Paper Id: IJNRD2403650
Research Area: Computer EngineeringÂ
Author Type: Indian Author
Country: District, Andhra Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2403650.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403650
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