The health care support system is a special type of recommender systems that play an
important role in medical sciences nowadays. This kind of systems often provides the …

Medical diagnosis has been being considered as one of the important processes in clinical
medicine that determines acquired diseases from some given symptoms. Enhancing the …

Applications of deep learning models for medical image analysis have been concentrated in
recent years. This study presents an improved automatic Deep Learning Ensemble model to …

SOFT COMPUTING techniques play an important role for decision-making applications with
imprecise and uncertain knowledge. The application of fuzzy SOFT COMPUTING …

Type-2 fuzzy set theory is one of the most powerful tools for dealing with the uncertainty and
imperfection in dynamic and complex environments. The applications of type-2 fuzzy sets …

Although adaptive neuro-fuzzy inference system (ANFIS) has very fast convergence time, it
is not suitable for classification problems because its outputs are not integer. In order to …

Rationale, aims and objectives A prototype diagnostic clinical decision support system
(CDSS) was developed to assist primary care clinicians (general practitioners) in clinical …

The use of machine learning in medical decision support systems can improve diagnostic
accuracy and objectivity for clinical experts. In this study, we conducted a comparison of 16 …

Damage in forms of hairline cracks may occur during normal operations, deterioration or
severe natural events. Due to the occurrence of cracks decreases lifetime of the product or …

The condition of the vascular system is crucial in the diagnosis of vision abnormalities. The
essential element of computerized retinal analysis is vasculature segmentation in digital …