Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : snimed

Klasifikasi Berbasis Algoritma C4.5 untuk Deteksi Kenaikan Case Fatality Rate Demam Berdarah Andriani, Anik
Seminar Nasional Informatika Medis (SNIMed) 2017
Publisher : Magister Teknik Informatika, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Extraordinary Events Dengue often occurs in Indonesia which causes patients died that affects the percentage deaths due to Dengue increased. It’s called Case Fatality Rate (CFR) Dengue. The government’s target on CFR Dengue is less than 1%. But CFR Dengue in some provinces in Indonesia is over 1%. Application of classification technique with C4.5 algorithm in this cases to know data pattern from CFR Dengue dataset in all province in Indonesia. Analysis process from historical data used for classification process applies stages of Knowledge Discovery in Databases consist of nine stages. The Classification result is Classification rule. It can describe data pattern extracted from CFR Dengue dataset. One of utilization to knowing the most influence factors to increase of CFR Dengue in a province. Classification result are evaluated by Confusion Matrix and ROC (Receiver Operating Characteristic) curve to know classification result performance’s. Evaluation result is known performance of classification rule generated into Excellent category.