Open AccessDiagnosa Penyakit Ginjal Kronis Menggunakan Metode Klasifikasi Naïve
Author(s) -
Harmayani Harmayani,
Lamhot Sitorus
Publication year - 2020
Publication title -
jurnal media informatika budidarma/jurnal media informatika budidarma
Language(s) - English
Resource type - Journals
eISSN - 2614-5278
pISSN - 2548-8368
DOI - 10.30865/mib.v4i3.2292
Subject(s) - kidney disease , disease , naive bayes classifier , medicine , classifier (uml) , computer science , artificial intelligence , pathology , support vector machine
Chronic Kidney Disease is a very dangerous disease that is often not seriously considered with the effects of this disease which leads to death. More than 26 million people in the United States are not aware of their kidney disease, only 8% of them begin to realize the disease, each body must be known early whether or not the body condition / / by diagnosing it, in this study classifications will be carried out on the diagnostic data attributes Chronic kidney disease aims to simplify the process of classifying symptoms and making decisions on the diagnosis of kidney disease, this process is carried out using a data mining classification approach using the Naïve Bayes Classifier method