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OBJECTIVES To determine the relative contributions of neuroepilepsy, coping and illness representation variables to psychological adjustment in epilepsy. DESIGN The study was a cross-sectional design, contrasting the adjustment of recently diagnosed and chronic patients. Neuroepilepsy, illness representation, coping and adjustment variable were all… (More)
The strength of Artificial Neural Networks (ANNs) derives from their perceived capability to infer complex, non-linear, underlying relationships without any a priori knowledge of the model. However, in reality, the fuller the priori knowledge the better the end result is likely to be. In this paper we show how to implement the Gamma test. This is a… (More)
OBJECTIVE To investigate the cost-effectiveness of a modified form of cognitive behavioural therapy (CBT) for recurrent non-cardiac chest pain. METHODS We tested the effectiveness and cost-effectiveness of a modified form of CBT for chest pain (CBT-CP)(4-10 sessions) in patients who attended cardiology clinics or emergency medical services repeatedly.… (More)
Description Finds the k nearest neighbours for every point in a given dataset in O(N log N) time using Arya and Mount's ANN library (v1.1.3). There is support for approximate as well as exact searches, fixed radius searches and bd as well as kd trees.
Description Finds the k nearest neighbours for every point in a given dataset in O(N log N) time using Arya and Mount's ANN library (v1.1.1). Two functions allow searches for nearest neighbours within a point set or between two separate point sets. There is support for approximate as well as exact searches, fixed radius searches and bd as well as kd trees.… (More)