Machine learning-based classification techniques provide support for the decision making process in the field of healthcare, especially in disease diagnosis, prognosis and screening. Healthcare datasets are voluminous in nature and their high dimensionality problem comprises in terms of slower learning rate and higher computational cost. Feature selection is expected to deal with the high dimen...

AIM The aim of this cost-effectiveness analysis (CEA), performed from a societal perspective, was to compare costs and consequences of an individually tailored oral health educational programme (ITOHEP) based on cognitive behavioural strategies integrated in non-surgical periodontal treatment compared with a standard treatment programme (ST). MATERIAL AND METHODS A randomized (n = 113), evalu...

In this paper we first introduce the concept of classification confidence in fuzzy rule-based classification. Classification confidence shows the strength of classification for an unseen pattern. Low classification confidence for an unseen pattern means that the classification of that pattern is not very clear compared to that with high classification confidence. Then we focus on the minimum cl...

The LHeC provides e±p collisions at 1.4 TeV cms energy. Based on simulations of the statistics and the systematics as may be achieved with a new collider detector, the potential of the LHeC is characterised regarding DIS precision measurements as of the strong coupling constant, to per mille accuracy, and the gluon distribution. It is demonstrated that for the first time the flavour contents of...