Heart Disease Prediction System using K-Nearest Neighbor Algorithm With Simplified Patients Health Parameters.

Registration ID: IJNRD_200222

Published ID: IJNRD2307361

DOI: Click Here to Get

Zainab Fayaz , Dr saurabh

Keywords: Heart disease, K-Nearest neighbor, machine learning, prediction, factors

This study presents a heart disease prediction system using the K-Nearest Neighbors (KNN) algorithm. The aim is to leverage machine learning techniques to accurately predict the likelihood of heart disease based on various risk factors. Heart disease is a significant cause of mortality globally, and early detection is crucial for successful treatment. The KNN algorithm classifies samples by considering the majority of their k nearest neighbors in the training data. By analyzing factors such as age, blood pressure, cholesterol level, resting blood pressure, fasting blood pressure, chest pain, old peak, thalach etc the algorithm predicts the probability of heart disease occurrence. This research contributes to the field of heart disease prediction by showcasing the potential of machine learning algorithms in aiding medical professionals with early detection and treatment. The results suggest that the KNN algorithm is a reliable tool for predicting heart disease. Future work will focus on incorporating additional features to further enhance the algorithm's performance and accuracy in predictions.

Published Paper   E-Certificate

Zainab Fayaz & Dr saurabh (July-2023). Heart Disease Prediction System using K-Nearest Neighbor Algorithm With Simplified Patients Health Parameters.. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(7), d539-d546. https://ijnrd.org/papers/IJNRD2307361.pdf

Volume 8 Issue 7, July-2023

Pages : d539-d546

Paper Reg. ID: IJNRD_200222

Published Paper Id: IJNRD2307361

Downloads: 000121992

Research Area: Computer Engineering 

Country: Kupwara, Jammu and Kashmir, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2307361.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2307361

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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