|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, 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) |
||||||||||||||
Issue: May 2024
Volume 9 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 96
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Heart Disease Prediction System using K-Nearest Neighbor Algorithm With Simplified Patients Health Parameters. |
| Authors Name: | Zainab Fayaz , Dr saurabh |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_200222
|
| Published Paper Id: | IJNRD2307361 |
| Published In: | Volume 8 Issue 7, July-2023 |
| DOI: | |
| 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. |
| Keywords: | Keywords: Heart disease, K-Nearest neighbor, machine learning, prediction, factors |
| Cite Article: | "Heart Disease Prediction System using K-Nearest Neighbor Algorithm With Simplified Patients Health Parameters.", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 7, page no.d539-d546, July-2023, Available :http://www.ijnrd.org/papers/IJNRD2307361.pdf |
| Downloads: | 000118755 |
| 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 |
| Publication Details: |
Published Paper ID:IJNRD2307361 Registration ID: 200222 Published In: Volume 8 Issue 7, July-2023 DOI (Digital Object Identifier): Page No: d539-d546 Country: Kupwara, Jammu and Kashmir, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2307361 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2307361 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn