Breast cancer is a leading cause of female mortality and its early detection is an important means of reducing this. The present study investigated an approach, based on fuzzy clustering, to detect small lesions, such as microcalcifications and other masses, that are hard to recognize in breast cancer screening. A total of 180 mammograms were analysed and classified by radiologists into three ...

The purpose of the work described in this paper is to provide an intelligent intrusion detection system (IIDS) that uses two of the most popular data mining tasks, namely classification and association rules mining together for predicting different behaviors in networked computers. To achieve this, we propose a method based on iterative rule learning using a fuzzy rule-based genetic classifier....

Exudates are the primary signs of diabetic retinopathy which are mainly cause of blindness. It could be prevented with an early screening process. Pupil dilation is required in the normal screening process but this affects patients’ vision. Automatic computerized screening should facilitate screening process, reduce inspection time and increase accuracy. In this paper we proposed an automatic m...

Databases of molecular structures available to the pharmaceutical industry comprise millions of molecules. With the advent of combinatorial chemistry, a vast number of compounds can be available either physically or virtually, which can make screening all of them infeasible in terms of time and cost. Therefore, only a subset of the entire database that encompasses the full range of structural t...

Microarray studies and gene expression analysis have received a lot of attention and provide many promising avenues towards the understanding of fundamental questions in biology and medicine. In this paper, the authors perform gene expression analysis and apply two hybrid GA-fuzzy approaches to classify gene expression data. Both are based on fuzzy if-then rule bases but they differ in the way ...

The aim of this paper is to generalize the approaches used for developing hybrid intelligent systems based on integration of neural networks, fuzzy logic and genetic algorithms. The paper introduces the concepts of intelligent artificial life system (IALS) space as a generalized conceptual space which represents a framework for all possible integration schemes of such intelligence technologies....

Many traumatic brain injury (TBI) cases go undetected and untreated indefinitely during and post deployment, putting soldiers at risk and linked with significant long-term psychological disorders, disabilities, and economic burdens. Existence and severity are assessed via a range of initial subjective screenings in the field and subsequent cognitive and neurological assessments as a soldier ret...