Paper Title

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

Article Identifiers

Registration ID: IJNRD_200222

Published ID: IJNRD2307361

DOI: Click Here to Get

Authors

Zainab Fayaz , Dr saurabh

Keywords

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

Abstract

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.

How To Cite

"Heart Disease Prediction System using K-Nearest Neighbor Algorithm With Simplified Patients Health Parameters.", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 7, page no.d539-d546, July-2023, Available :https://ijnrd.org/papers/IJNRD2307361.pdf

Issue

Volume 8 Issue 7, July-2023

Pages : d539-d546

Other Publication Details

Paper Reg. ID: IJNRD_200222

Published Paper Id: IJNRD2307361

Downloads: 000121182

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

About Publisher

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

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

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area