MODEL PENGAMBILAN KEPUTUSAN DALAM PREDIKSI KASUS TUBERKULOSIS MENGGUNAKAN REGRESI LOGISTIK BERBASIS BACKWARD ELIMINATION
(1) 
(2) 
(*) Corresponding Author
Abstract
The purpose of this study is to obtain a predictive model in cases of Tuberculosis (TB) using alogistic regression based on backward elimination. The study is conducted through literaturereview, collecting secondary data of 200 patients of Pulmonary Tuberculosis aged more than 15years. Data is collected from BKPM Semarang, Central Java. The data consist ofcharacteristics, anamnesis, physical examination, laboratory test results data and radiologicalexamination. Logistic regression based on backward elimination model has better accuracythan logistic regression without attribute selection.
Kata kunci : Tuberkulosis, Regresi Logistik, Backward Elimination, Prediksi
Kata kunci : Tuberkulosis, Regresi Logistik, Backward Elimination, Prediksi
Full Text:
PDFArticle Metrics
Abstract view : 450 timesPDF - 146 times
Refbacks
- There are currently no refbacks.
UNIMUS | Universitas Muhammadiyah Semarang
Jl. Kedungmundu Raya No. 18 Semarang
email:Info@unimus.ac.id http://unimus.ac.id