OPTIMIZATION OF NAÏVE BAYES USING BACKWARD ELIMINATION FOR HEART DISEASE DETECTION

Saeful Amri(1*), Ariska Fitriyana Ningrum(2), Prizka Rismawati Arum(3)


(1) Departement of Data Science, Faculty of Science and Agriculture Technology, University of Muhammadiyah Semarang, Semarang
(2) Departement of Data Science, Faculty of Science and Agriculture Technology, University of Muhammadiyah Semarang, Semarang
(3) Departement of Statistics, Faculty of Science and Agriculture Technology, University of Muhammadiyah Semarang, Semarang
(*) Corresponding Author

Abstract


Heart disease is the main cause of death in humans. Even though preventive measures have been taken such as regulating food (diet), lowering cholesterol, and treating weight, diabetes, and hypertension, heart disease remains a major health problem. There are several factors that cause heart disease, including age, type of chest pain, high blood pressure, sugar levels, ECG test values, maximum heart rate, and induced angina. To reduce the percentage of deaths due to heart disease, we need a system that can predict heart disease. The algorithm used in this research is a combination of the Backward Elimination and Naive Bayes algorithms to increase accuracy in diagnosing heart disease. According to the results of this research, the Naive Bayes algorithm has an accuracy value of 78.90% and an Area Under Curve (AUC) value of 0.86, which is included in the good classification category. Combining the Backward Elimination and Naïve Bayes algorithms has an accuracy value of 82.31% and an Area Under Curve (AUC) value of 0.88.

Keywords


Heart Disease Detection; Naïve Bayes; Backward Elimination

Full Text:

PDF

References


Iskandar, Hadi, A and Alfridsyah, "Faktor Risiko Terjadinya Penyakit Jantung Koroner Pada Pasien Rumah Sakit Umum Meuraxa Banda Aceh," Jurnal Action : Aceh Nutrition Journal, 2017.

Djuandi, "Hubungan Usia dan Merokok pada Penderita Penyakit Jantung Koroner di Poliklinik Penyakit Dalam RS MH Palembang Periode," Jurnal Syifa Merdeka, 2012.

Febby, Arjuna and Maryana, "Dukungan Keluarga Berhubungan Dengan Kualitas Hidup Pasien Gagal Jantung," Jurnal Penelitian Perawat Profesional, vol. 5, 2023.

Kemenkes, Laporan Riskesdas, 2018.

D. Chicco and G. Jurman, "Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone.," BMC Medical Informatics and Decision Making, vol. 20, pp. 1-16, 2020.

A. Triprasojo, P. Mauliana and W. Wiguna, "Penerapan Algoritma Naive Bayes Untuk Klasifikasi Deteksi Mesothelioma," Journal Informatika, pp. 1-8, 2019.

F. Novaldy and A. Herliana, "Penerapan PSO pada Naive Bayes Untuk Prediksi Harapan Hidup Pasien Gagal Jantung," Jurnal Responsif, vol. 3, pp. 37-43, 2021.

M. Rizal, M. Z. Syahaf, S. R. Priyambodo and Y. Ramadhani, "Optimasi Algoritma Naive Bayes Menggunakan Forward Selection Untuk Klasifikasi Penyakit Ginjal Kronis," Jurnal Ilmiah Nasional Riset Aplikasi dan Teknik Informatika, vol. 5, 2023.

D. T. Larose, Data Mining Methods and Models, Simultaneously in Canada, 2007.

A. Narin, Y. Isler and M. Ozer, "Investigating the performance improvement of HRV Indices in CHF using feature selection methods based on backward elimination and statistical significance," Computers in Biology and Medicine, vol. 45, pp. 72-79, 2014.

M. CHABIB, “Persepsi Perempuan Tentang Penyakit Jantung Koroner di Puskesmas Jenangan, Kecamatan Jenangan Kabupaten Ponorogo,” skripsi, Universitas Muhammadiyah Ponorogo, 2017

R. Rulandi, “Hubungan Karakteristik Antara Usia, Jenis Kelamin, Tekanan Darah dan Dislipidemia dengan Kejadian Penyakit Jantung Koroner di Rumah Sakit Al-Ihsan Tahun 2014,” Thesis, Fakultas Kedokteran (UNISBA), 2016

“Studi Penggunaan Golongan Statin Pada Pada Pasien Jantung Koroner (Penelitian dilakukan di Rumah Sakit Umum Daerah Sidoarjo) - UMM Institutional Repository.” [Daring]. Tersedia pada: http://eprints.umm.ac.id/42665/. [Diakses: 04-Des-2019]

T. Alawiyah, “Gambaran Pengetahuan Penderita Pjk Tentang Bahaya dan Akibat Makanan yang Mengandung Kolesterol,” undergraduate, Universitas Muhammadiyah Semarang, 2018.

D. Astuti and I. K. Suardamana, Gagal Jantung, Universitas Udayana, pp. 1-2.

G. Dimitoglou, J. A. Adam and C. Jim, "Comparison of the C4.5 and a Naive Bayes Classifier for the prediction of lung cancer survivability.," Journal of Computing, vol. 4, 2012.

M. Arhami and M. Nasir, Data Mining- Algoritma dan Implementasi, ANDI, 2020.

N. Ali, Icle and O. Y, Investigating The Performance Improvement of HRV Indices in CHF Using Feature Selection Methods Based On Backward Based On Backward Elimination and Statistcal Significance, Computer in Biology and Madicine, 2014.


Article Metrics

Abstract view : 228 times
PDF - 55 times

DOI: https://doi.org/10.26714/jsunimus.11.2.2023.44-50

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Jurnal Statistika Universitas Muhammadiyah Semarang

Editorial Office:
Department of Statistics
Faculty Of Mathematics And Natural Sciences
 
Universitas Muhammadiyah Semarang

Jl. Kedungmundu No. 18 Semarang Indonesia



Published by: 
Department of Statistics Universitas Muhammadiyah Semarang

View My Stats

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License