This paper investigates the sick and healthy factors which contribute to heart disease for
males and females. Association rule mining, a computational intelligence approach, is used …

This study investigated the application of a novel hybrid artificial intelligence (AI)-based
classifier for aiding prediction of the prognosis in patients with chronic hepatitis. Nineteen …

Clustering methods divide the dataset into groups of similar objects called as clusters. Two
objects in different clusters are dissimilar and objects in the same cluster are similar …

Differential Evolution (DE) is an algorithm for evolutionary optimization. Clustering problems
have been solved by using DE based clustering methods but these methods may fail to find …

Supervised learning algorithms are trained with labeled data only. But labeling the data can
be costly and hence the amount of labeled data available may be limited. Training the …

Supervised clustering algorithms are applied on classified examples with the goal of
determining class-uniform clusters. These methods evaluate clustering solutions based on …

This chapter is a review of data mining techniques used in medical research. It will cover the
existing applications of these techniques in the identification of diseases, and also present …

Breast cancer is invasive and the second leading cause of mortality among women. Medical
flaws during the diagnosis due to unintended human error are the most damaging and …

Clustering has been used in literature to enhance classification accuracy. But most
partitional clustering methods need the number of clusters as input and also they are …

Coronary artery disease (CAD) is one of the most common causes of death. This paper
presents a study on the applicability of open-source data mining tools for the development of …