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All Journal Galaksi
Angelyn, Mariane Cetty
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering

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Towards Improved Heart Disease Detection: Evaluating Naïve Bayes and K-Nearest Neighbors in Medical Data Classification Angelyn, Mariane Cetty; Iswara, Ida Bagus Ary Indra; Putra, Desak Made Dwi Utami; Sastaparamitha, Ni Nyoman Ayu J.
Jurnal Galaksi Vol. 1 No. 3 (2024): Galaksi - Desember 2024
Publisher : Yayasan Sraddha Panca Widya Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70103/galaksi.v1i3.45

Abstract

The application of machine learning in healthcare is increasingly critical for improving diagnostic accuracy and timely treatment. This study explores the classification of heart disease using Naïve Bayes and K-Nearest Neighbors (KNN), focusing on evaluating their effectiveness through a comparative analysis. The research addresses the challenge of identifying an optimal method for heart disease classification, emphasizing the need for reliable algorithms. Using a dataset from Kaggle with detailed preprocessing, we implement Naïve Bayes and KNN to assess classification performance. The study introduces a comparative perspective on classification accuracy, precision, recall, and F1-score, revealing the strengths and limitations of each method. The results highlight the superior performance of Naïve Bayes with an accuracy of 88%, offering novel insights for data-driven healthcare decisions.
Co-Authors Desak Made Dwi Utami Putra Ida Bagus Ary Indra Iswara Sastaparamitha, Ni Nyoman Ayu J.