Review paper
Predicting Breast Cancer Recurrence Using Machine Learning Techniques
Abstract
Background: Recurrence is an important cornerstone in breast cancer behavior, intrinsically related to mortality. In spite of its relevance, it is rarely recorded in the majority of breast cancer datasets, which makes research in its prediction more difficult. Objectives: To evaluate the performance of machine learning techniques applied to the prediction of breast cancer recurrence. Material and Methods: Revision of published works that used...
Paper Details
Title
Predicting Breast Cancer Recurrence Using Machine Learning Techniques
Published Date
Oct 12, 2016
Journal
Volume
49
Issue
3
Pages
1 - 40
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