IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
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)

Call For Paper

For 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: Intelligent and Efficient Methodology for Heart Disease Detection using Autoencoder
Authors Name: Ankit Kumar , Deepak Mishra , Balasubramaniam
Download E-Certificate: Download
Author Reg. ID:
IJNRD_219501
Published Paper Id: IJNRD2404782
Published In: Volume 9 Issue 4, April-2024
DOI:
Abstract: Artificial Intelligence (AI) is revolutionizing healthcare by leveraging data and advanced analytics, particularly in medical diagnosis where the stakes are high. However, concerns about transparency, explainability, and bias persist. This study focuses on using Neural Networks to analyze a Heart diseases dataset, starting with understanding feature correlations and applying feature selection techniques for optimal detection of heart disease. By experimenting with deep learning classification models using both complete and reduced feature subsets, the study shows that relevant features significantly impact classification accuracy. Even with fewer features, models perform better and train faster, highlighting the potential of AI in improving healthcare outcomes
Keywords:
Cite Article: "Intelligent and Efficient Methodology for Heart Disease Detection using Autoencoder", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.h758-h761, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404782.pdf
Downloads: 00025
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:IJNRD2404782
Registration ID: 219501
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: h758-h761
Country: Chennai, Tamil Nadu, India
Research Area: Science & Technology
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404782
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404782
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

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)


Providing A digital object identifier by DOI
How to Get DOI? DOI

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Join RMS/Earn 300

IJNRD