|
|||||||||||||||
|
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: | An Artificial Intelligence Based Prediction Methods For Predicting Heart Disease |
| Authors Name: | M. Sujana , Y. Likhitha , M. Tejeswari , Ch. Teja Sree , K. Shalini,Smt. S. Rama devi |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_192318
|
| Published Paper Id: | IJNRD2304485 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | http://doi.one/10.1729/Journal.33900 |
| Abstract: | ABSTRACT Heart disease is a medical condition that encompasses various problems related to the heart, such as damaged blood vessels, structural abnormalities, and blood clots. According to a report published by the Indian Council of Medical Research (ICMR), cardiovascular diseases are responsible for almost 17% of all deaths in India. On average, approximately 28,000 people in India die every year due to heart disease, which is caused by several factors including cholesterol levels, blood sugar levels, and other health issues. While we won't delve into the details of how heart attacks occur, our objective is to develop an AI-based heart disease detection system that can predict heart disease based on 14 key attributes. To achieve this, we will use machine learning techniques and three algorithms, namely k-nearest neighbor, logistic regression, and random forest, with the help of the UCI repository dataset. The UCI Machine Learning Repository contains numerous databases that are widely used by the machine learning community to conduct empirical analyses of various machine learning algorithms. |
| Keywords: | Keywords: Supervised; Unsupervised; Reinforced; linear regression; Random forest; python programming; Jupyter notebook; confusion matrix. |
| Cite Article: | "An Artificial Intelligence Based Prediction Methods For Predicting Heart Disease", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.e640-e646, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304485.pdf |
| Downloads: | 000118754 |
| 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:IJNRD2304485 Registration ID: 192318 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.33900 Page No: e640-e646 Country: Visakhapatnam, Andhra pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2304485 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2304485 |
| 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