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All Journal Jurnal Nasional Teknologi Informasi dan Aplikasinya
Bhadrika Artawibawa, I Gusti Gde Bagus
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Computer Science & IT

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Klasifikasi Penyakit Gagal Jantung dengan Algoritma XGBoost Bhadrika Artawibawa, I Gusti Gde Bagus; Eka Karyawati, Anak Agung Istri Ngurah
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 2 No 3 (2024): JNATIA Vol. 2, No. 3, Mei 2024
Publisher : Informatics Study Program, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2024.v02.i03.p06

Abstract

Heart, as one of the most important organs in the body, carries a risk of death if abnormalities occur. Heart problems are divided into two categories: heart failure and heart attacks. According to WHO data, approximately 7.3 million people worldwide die due to heart disease. This study uses a dataset of heart disease patients and applies the XGBoost algorithm. The objectives of this study are to process and analyze the data, implement the XGBoost algorithm for heart disease classification, and evaluate the performance of the XGBoost algorithm. The result of this study is the performance evaluation of the XGBoost algorithm, which achieved an accuracy of 93%. Keywords: Heart, Classification, Failure, XGBoost, Disease
Co-Authors Eka Karyawati, Anak Agung Istri Ngurah