Coronary artery disease (CAD) is a leading cause of death worldwide and is associated with
high healthcare expenditure. Researchers are motivated to apply machine learning (ML) for …

Expert's knowledge base systems are not effective as a decision-making aid for physicians
in providing accurate diagnosis and treatment of heart diseases due to vagueness in …

Semi-supervised learning, which uses a large amount of unlabeled data to improve the
performance of a classifier when only a limited amount of labeled data is available, has …

This paper concerns the evolutionary induction of decision trees (DT) for large-scale data.
Such a global approach is one of the alternatives to the top-down inducers. It searches for …

Gene fusion events are quite common in prostate, lymphoid, soft tissue, breast, gastric, and
lung cancers. This requires fast and accurate fusion detection methods. However, accurate …

Abstract The Berlekamp–Massey algorithm finds the shortest linear feedback shift register
for a binary input sequence. A wide range of applications like cryptography and digital signal …

Down syndrome is accepted as the common birth defect in population and diagnosed as
more physical development with less cognitive activity than an average human. Early …

Recently, artificial immune algorithms have attracted great attention of researchers and been
widely used in function optimization, pattern recognition and classification. Traditional …

Gene fusions events, which are the result of two genes fused together to create a hybrid
gene, were first described in cancer cells in the early 1980s. These events are relatively …

Over the past 20 years, data has increased on a large scale in various fields and
researchers are facing new challenges to work with this huge volume of data. My passion for …