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)
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
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"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
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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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