AIM A cognitive test and an informant report questionnaire were used together to investigate whether their combined use could improve the accuracy of detecting dementia in a memory clinic, compared with either test used alone. METHOD The subjects were 323 patients assessed at a memory clinic. The Mini-Mental State Examination and the short form of the Informant Questionnaire on Cognitive Decl...

This paper proposes the Marine Predators algorithm (MPA) linked with reservoir simulation model and considering sedimentation, in order to improve rule curves. The release criteria of hedging (HR) standard operating policy (SOP) were investigated this study. results showed that patterns new optimal curves from MPA technique sedimentation using HR practically useful study, as SOP those existing ...

The concept of the Knowledge Bazaar as a paradigm for the development of Expert Systems, whereby knowledge bases are created dynamically using knowledge supplied by self appointed Internet communities is proposed. The idea espouses the creation of individual Knowledge Bazaars, operating in specific domains, but all operating through a generic Knowledge Bazaar XML Web application. Issues address...

Group sequential stopping rules are often used as guidelines in the monitoring of clinical trials in order to address the ethical and efficiency issues inherent in human testing of a new treatment or preventive agent for disease. Such stopping rules have been proposed based on a variety of different criteria, both scientific (e.g. estimates of treatment effect) and statistical (e.g. frequentist...

Compare the accuracy of two continuous-scale tests is increasing important when a new test is developed. The traditional approach that compares the entire areas under two Receiver Operating Characteristic (ROC) curves is not sensitive when two ROC curves cross each other. A better approach to compare the accuracy of two diagnostic tests is to compare the areas under two ROC curves (AUCs) in the...

This study aims to investigate the different management policies of multi-reservoir systems and their impact on the demand supply and hydropower generation in Great Karun River basin. For this purpose, the semi-distributed simulation-optimization  model of the Great Karun River basin is developed. Also, the multi-objective particle swarm optimization algorithm is applied to optimize the develop...

Purpose Traditional classification algorithms always have an incorrect prediction. As the misclassification rate increases, usefulness of learning model decreases. This paper presents development a wisdom framework that reduces error to less than 3% without human intervention. Design/methodology/approach The proposed WisdomModel consists four stages: build classifier, isolate misclassified inst...

The Receiver Operating Characteristic (ROC) curve is a two dimensional measure of classification performance. The area under the ROC curve (AUC) is a scalar measure gauging one facet of performance. In this note, five idealized models are utilized to relate the shape of the ROC curve, and the area under it, to features of the underlying distribution of forecasts. This allows for an interpretati...

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...