IDENTIFIKASI FAKTOR PREDIKSI DIAGNOSIS TINGKAT KEGANASAN KANKER PAYUDARA METODE STEPWISE BINARY LOGISTIC REGRESSION
The World Health Organization (WHO) reported that deaths caused by cancer in the world these last four years has increased significantly. The data also reflected in the increase in breast cancer cases. In Indonesia, two cases also the highest cases of adult female deaths. Based on Hospital Informati...
Main Authors: | Retno Aulia Vinarti, Wiwik Anggraeni |
---|---|
Format: | Article |
Language: | English |
Published: |
Petra Christian University
2014-01-01
|
Series: | Jurnal Informatika |
Subjects: | |
Online Access: | http://puslit2.petra.ac.id/ejournal/index.php/inf/article/view/19142 |
Similar Items
-
Pendekatan Machine Learning yang Efisien untuk Prediksi Kanker Payudara
by: Azminuddin I. S. Azis, et al.
Published: (2019-12-01) -
Prediksi Jumlah Kunjungan Pasien Rawat Jalan Menggunakan Metode Genetic Fuzzy Systems Studi Kasus : Rumah Sakit Usada Sidoarjo
by: Lia Farihul Mubin, et al.
Published: (2012-09-01) -
Prediksi Deteksi Penyakit Kanker Payudara dengan Menggunakan Algoritma Decision Tree
by: Ayu Dian Fitri Mellina, et al.
Published: (2024-01-01) -
Profil faktor prognosis kanker payudara di Jogjakarta
by: , JAQIN, Nurul, et al.
Published: (2003) -
Profil faktor prognosis kanker payudara di Jogjakarta
by: , JAQIN, Nurul, et al.
Published: (2003)