Text of abstract Logistic regression analysis is an effective approach to the classification
problem. However, it may lead to high misclassification rate in real decision procedures …

The goal of this research is to develop a reliable decision-support system for the survival
prediction of heart failure patients by utilizing their clinical records and laboratory test results …

“Emergency medicine” is the front line of medical service a hospital provides; also it is the
department people seek medical care from immediately after an emergency happens. The …

OBJECTIVE: Rough set theory (RST) provides powerful methods for reduction of attributes
and creation of decision rules, which have successfully been applied in numerous medical …

Computational intelligence provides the biomedical domain by a significant support. The
application of machine learning techniques in medical applications have been evolved from …

Background: Breast cancer is one of the major death causing diseases of the women in the
world. Every year more than million women are diagnosed with breast cancer more than half …

The availability of clinical datasets and knowledge mining methodologies encourages the
researchers to pursue research in extracting knowledge from clinical datasets. Different data …

Abstract Background and Objective Retrieving meaningful information from high
dimensional dataset is an important and challenging task. Normally, medical dataset suffers …

Computerized survival prediction in healthcare identifying the risk of disease mortality, helps
healthcare providers to effectively manage their patients by providing appropriate treatment …