Intelligent and Efficient Methodology for Heart Disease Detection using Autoencoder

Intelligent and Efficient Methodology for Heart Disease Detection using Autoencoder

Registration ID: IJNRD_219501

Published ID: IJNRD2404782

DOI: Click Here to Get

Ankit Kumar , Deepak Mishra , Balasubramaniam

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

Published Paper   E-Certificate

"Intelligent and Efficient Methodology for Heart Disease Detection using Autoencoder", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.h758-h761, April-2024, Available :https://ijnrd.org/papers/IJNRD2404782.pdf

Volume 9 Issue 4, April-2024

Pages : h758-h761

Paper Reg. ID: IJNRD_219501

Published Paper Id: IJNRD2404782

Downloads: 000121127

Research Area: Science & Technology

Country: Chennai, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404782.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404782

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

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

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