An improved survivability prognosis of breast cancer by using sampling and feature selection technique to solve imbalanced patient classification data

Abstract

BACKGROUND Breast cancer is one of the most critical cancers and is a major cause of cancer death among women. It is essential to know the survivability of the patients in order to ease the decision making process regarding medical treatment and financial preparation. Recently, the breast cancer data sets have been imbalanced (i.e., the number of survival… (More)
DOI: 10.1186/1472-6947-13-124

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