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)
Heart disease remains a significant global health concern, necessitating accurate predictive models
for timely diagnosis and intervention. In this paper, we propose a novel approach, merging Mafia
and K-means algorithms, aimed at improving feature selection for predictive models. Leveraging
the robustness of Mafia algorithms and the clustering efficacy of K-means, we iteratively select
informative features from complex datasets related to heart health. Our fusion technique
demonstrates superior predictive performance compared to traditional methods, showcasing
enhanced accuracy, precision, and recall rates. The results underscore the potential of this approach
in refining heart disease prediction models, offering a promising avenue for future research in
medical data analysis and predictive
"Enhancing Heart Disease Prediction Models through Data-driven Feature Selection: A Mafia-K-means Fusion Approach", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 2, page no.a767-a773, February-2024, Available :http://www.ijnrd.org/papers/IJNRD2402087.pdf
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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
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