Robby Anggriawan
IIB DARMAJAYA LAMPUNG

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Komparasi Algoritma C4.5 dan Naive Bayes Dalam Prediksi Penderita Penyakit Gagal Jantung Robby Anggriawan; Handoyo Widi Nugroho
Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Vol 5, No 2 (2022): Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data)
Publisher : Institut Informatika dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/simada.v5i2.3433

Abstract

Every year more than 36 million people die from Non-Communicable Diseases (PTM) (63% of all deaths). More than 9 million deaths from non-communicable diseases occur before the age of 60, and 90% of these “early” deaths occur in low- and middle-income countries. Globally PTM the number one cause of death each year is cardiovascular disease. Cardiovascular disease is a disease caused by impaired function of the heart and blood vessels, such as: coronary disease, heart failure or heart failure, hypertension and stroke. An estimated 17.3 million deaths are caused by cardiovascular disease.Keywords: C45 algorithm and naïve bayes algorithm; Rapid Miner;