OBJECTIVE To describe patients who present to the pediatric emergency department (PED) and are subsequently diagnosed with pulmonary embolism (PE). METHODS Electronic medical records from 2003 to 2011 of a tertiary care pediatric health care system was retrospectively reviewed to identify patients <21 years who had a final International Classification of Diseases, Ninth Revision diagnosis of ...

iranian industries are increasingly concerned with sustainable development by controlling their impacts on environment. iranian automotive industries have began conducting environmental management within a structured management system based on iso 14001 international standard since 1997. iran khodro co. (ikco), the largest iranian automotive manufacturer, implemented ems entire the company in 2...

This study seeks to develop a fuzzy expert system to help managers in assessing their effectiveness and position of their business on the manufacturing excellence track. Assessment process is multi-dimensional in nature and there is a relationship between the different variables of the system. In addition, both quantitative and qualitative variables as well as the uncertainty in the statements ...

Recently, tuning the weights of the rules in Fuzzy Rule-Base Classification Systems is researched in order to improve the accuracy of classification. In this paper, a margin-based optimization model, inspired by Support Vector Machine classifiers, is proposed to compute these fuzzy rule weights. This approach not only  considers both accuracy and generalization criteria in a single objective fu...

We propose to evaluate the quality of decision trees grown on imbalanced datasets with a splitting criterion based on an asymmetric entropy measure. To deal with the class imbalance problem in machine learning, especially with decision trees, different authors proposed such asymmetric splitting criteria. After the tree is grown a decision rule has to be assigned to each leaf. The classical Baye...

Over the last years, a number of studies on rule extraction from support vector machines (SVMs) have been introduced [1-5]. The research strategy in these projects is similar: to explore and develop algorithms for rule extraction based on the perception (or “view”) of the underlying SVM which is either explicitly or implicitly assumed within the rule extraction technique. In the context of rule...

the main purpose of this paper is to apply of islamic transactions rules on iran capital market contracts by studying the economic actions of the individuals in tehran stock market. based on the theories of four major islamic laws, i.e., no damage rule, gaining from invalid activities rule, peril rule and usury rule; the basic islamic assumptions is drawn in order to testify in the capital mark...

recently, tuning the weights of the rules in fuzzy rule-base classification systems is researched in order to improve the accuracy of classification. in this paper, a margin-based optimization model, inspired by support vector machine classifiers, is proposed to compute these fuzzy rule weights. this approach not only  considers both accuracy and generalization criteria in a single objective fu...

The work of this dissertation was aimed at getting a better understanding about the way people evaluate visual similarity of skin lesions. Experiments testing the evaluation performance achieved following the ABCD rule were run at first. Results showed a substantial variability in the obtained evaluations which puts the usefulness of this qualitative guideline under questioning. According to ad...