A new weighted rough set framework for imbalance class distribution

Jaundice is the most common condition that requires medical attention in newborns. Although most newborns develop some degree of jaundice, a high level bilirubin puts a newborn at risk of bilirubin encephalopathy and kernicterus which are rare but still occur in Egypt. In this paper, a new weighted rough set framework is introduced for early intervention and prevention of neurological dysfunction and kernicterus that are catastrophic sequels of neonatal jaundice. The obtained results show that the weighted rough set can provide significantly more accurate and reliable predictive accuracy than well known algorithms such as weighted SVM and decision tree.