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Prediksi Penyakit Diabetes Dengan Naive Bayes Wardana, Yuni; Sari, Devni Prima
Journal of Mathematics UNP Vol 8, No 3 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i3.15070

Abstract

Diabetes is one of the top ranked diseases for non-communicable diseases which is top cause of death worldwide. Every year 442 million people worldwide have diabetes and 1.6 million people die due to diabetes. With increasing cases of diabetes every year, this detection may need to be done before diabetes occurs. So a research was conducted on diabetes prediction using the Naïve Bayes method. According to the Naïve Bayes model, people with diabetes have a 28% chance of developing diabetes and a 72% chance of not having diabetes. And this research achieved 94% accuracy, 95% precision, and 98% recall.