The use of incremental reduced error pruning for maximizing the area under the ROC curve (AUC) instead of accuracy is investigated. A commonly used accuracy-based exclusion criterion is shown to include rules that result in concave ROC curves as well as to exclude rules that result in convex ROC curves. A previously proposed exclusion criterion for unordered rule sets, based on the lift, is on ...

Following the ideas of Liniger and Willoughby (although acting along different lines), a new family of schemes, derived from the trapezoidal rule, is developed, which enables the fitting of the scheme to arbitrary sets of equations.

BACKGROUND & AIMS Prevention of recurrent Clostridium difficile infection (CDI) is a substantial therapeutic challenge. A previous prospective study of 63 patients with CDI identified risk factors associated with recurrence. This study aimed to develop a prediction rule for recurrent CDI using the above derivation cohort and prospectively evaluate the performance of this rule in an independent ...

In this study, physicochemical properties of 49 compounds extracted from anti-inflammatory sponge species with the aim of ADMET test and Lipinski rule of five have been determined. Fourteen compounds, which showed best results, were subjected to molecular docking studies with IL-17. Among these compounds, Four compounds with low binding energy were obtained. These compounds, namely, frondosins ...

This paper introduces a new method for solving the parameterization problem of the Bézier curve of a certain degree that approximates a given collection of data points. Our method is based on a discrete based-on-rules local search metaheuristic approach for optimization problems. The method is applied to some simple yet illustrative examples for the cases of 2D and 3D curves. Our experimental r...

Pattern classification learning tasks are commonly used to explore learning strategies in human subjects. The universal and individual traits of learning such tasks reflect our cognitive abilities and have been of interest both psychophysically and clinically. From a computational perspective, these tasks are hard, because the number of patterns and rules one could consider even in simple cases...

background: the present study assesses independent predictors of clinically important traumatic brain injury (citbi) in order to design a prognostic rule for identification of high risk children with mild head injury. materials and methods: in a retrospective cross-sectional study, 3,199 children with mild traumatic brain injury (tbi) brought to emergency ward of three hospitals in tehran, iran...