Pendekatan Machine Learning yang Efisien untuk Prediksi Kanker Payudara

Pendekatan Machine Learning yang Efisien untuk Prediksi Kanker Payudara

Breast Cancer is the most common cancer found in women and the death rate is still in second place among other cancers. The high accuracy of the machine learning approach that has been proposed by related studies is often achieved. However, without efficient pre-processing, the model of Breast Cance...

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Bibliographic Details
Main Authors: Azminuddin I. S. Azis, Irma Surya Kumala Idris, Budy Santoso, Yasin Aril Mustofa
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2019-12-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
machine learning
breast cancer prediction
missing value replacement
feature selection
unbalanced class
Online Access:http://jurnal.iaii.or.id/index.php/RESTI/article/view/1347

Internet

http://jurnal.iaii.or.id/index.php/RESTI/article/view/1347

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