This paper examines the effect of rule weights in fuzzy rule-based classification systems. Each fuzzy IF–THEN rule in our classification system has antecedent linguistic values and a single consequent class. We use a fuzzy reasoning method based on a single winner rule in the classification phase. The winner rule for a new pattern is the fuzzy IF–THEN rule that has the maximum compatibility gra...

background multiple classifications can be used to define the magnitude of aortic injury. the vancouver classification (vc) is a new and simplified computed tomography-based blunt aortic injury (bai) grading system correlating with clinical outcomes. objectives the objectives of this study are: 1) to describe the severity of aortic injury in a center with a predominantly surgical approach to ba...

The management of scorpion stings, especially those including antivenom treatment, remains a subject of controversy. The purpose of this study was to offer the epidemiologic and clinical characteristics of patients with scorpion sting and to determine the efficacy of antivenom treatment in the management of these patients. A total of 106 adult patients admitted for scorpion sting to our ED betw...

OBJECTIVE To compare the effectiveness of Wagner and University of Texas (UT) classification systems of diabetic foot ulcers in directing appropriate therapy and possibly predicting outcomes. METHODS A total of 383 patients with foot ulcer were seen. Details of socio-demographic and clinical profiles of 200 patients were completely available. Patients were assessed and classified into differe...

While MOOCs offer educational data on a new scale, many educators find great potential of the big data including detailed activity records of every learner. A learner's behavior such as if a learner will drop out from the course can be predicted. How to provide an effective, economical, and scalable method to detect cheating on tests such as surrogate exam-taker is a challenging problem. In thi...

This article reviews current perspectives in the classification and grading of astrocytomas in children and calls attention to several histologically distinct groups of low-grade tumors that characteristically arise during childhood. Recognition of these tumors and the range of histological features that they may exhibit is essential for making rational assessments regarding their expected beha...

A growing body of literature has emerged that demonstrates the potential of neurogaming platforms for interfacing with well-known video games. With the recent convergence of advances in consumer electronics, ubiquitous computing, and wearable sensor technologies real-time monitoring of neurocognitive and affective states can be studied in an objective, timely, and ecologically valid manner. Whi...

This article presents the experiments carried out at Jadavpur University as part of the participation in Semantic Textual Similarity (STS) of Task 6 @ Semantic Evaluation Exercises (SemEval-2012). Task-6 of SemEval2012 focused on semantic relations of text pair. Task-6 provides five different text pair files to compare different semantic relations and judge these relations through a similarity ...

BACKGROUND Tumor classification is inexact and largely dependent on the qualitative pathological examination of the images of the tumor tissue slides. In this study, our aim was to develop an automated computational method to classify Hematoxylin and Eosin (H&E) stained tissue sections based on cancer tissue texture features. METHODS Image processing of histology slide images was used to dete...

The objective of this work is to evaluate the usefulness of a standardized clinical classification of hydroceles in lymphatic filariasis endemic countries to guide their surgical management. 64 patients with hydroceles were operated in 2009-2010, in Level II hospitals (WHO classification), during two visits to Fiji, by the same mobile surgical team. The number of hydroceles treated was 83. We d...