To understand how subspace clustering algorithms discover distinct bicluster types and how
their effectiveness has been validated, we offer a systematic literature review on available …

Computational intelligence (CI) is a well-established paradigm with current systems having
many of the characteristics of biological computers and capable of performing a variety of …

This paper presents a case study of an Emergency Department of a public hospital in
Dublin, and uses an integrated approach to determine optimal staffing levels to meet the …

Microarray technology in the last decade has been widely applied to detect correlated
biomarkers in biological processes. Due to the need for analyzing massive amounts of …

PURPOSE: to measure the quality of life (QoL), either by a specific dermatology or generic
self applied questionnaire, in Atopic dermatitis adult Brazilian patients, looking for selected …

Bi-clustering of microarrays gene expression data is one of the almost young methods which
make it possible to cluster genes and samples in microarray datasets simultaneously, and …

Machine learning, data mining and pattern recognition have been quite often used in
various contexts of medical and bioinformatics applications. Currently computational …