background: today, despite the many advances in early detection of diseases, cancer patients have a poor prognosis and the survival rates in them are low. recently, microarray technologies have been used for gathering thousands data about the gene expression level of cancer cells. these types of data are the main indicators in survival prediction of cancer. this study highlights the improvement...

introduction: rapid acute physiology score (raps) and rapid emergency medicine score (rems) are two physiologic models for measuring injury severity in emergency settings. the present study was designed to compare the two models in outcome prediction of trauma patients presenting to emergency department (ed). methods: in this prospective cross-sectional study, the two models of raps and rems we...

introduction: in cases with potential diagnosis of ischemic chest pain, screening high risk patients for adverse outcomes would be very helpful. the present study was designed aiming to determine the diagnostic accuracy of thrombolysis in myocardial infarction (timi) score in patients with potential diagnosis of ischemic chest pain. method: this diagnostic accuracy study was designed to evaluat...

introduction: designing a tool that can differentiate those at risk of child abuse with great diagnostic accuracy is of great interest. the present study was designed to evaluate the diagnostic accuracy of escape instrument in triage of at risk cases of child abuse presenting to emergency department (ed). methods: the present diagnostic accuracy study performed on 6120 of the children under 16 ...

decision support systems (dsss) are prevalent information systems for decision making in many competitive business environments. in a dss, decision making process is intimately related to some factors which determine the quality of information systems and their related products. traditional approaches to data analysis usually cannot be implemented in sophisticated companies, where managers need...

decision support systems (dsss) are prevalent information systems for decision making in many competitive business environments. in a dss, decision making process is intimately related to some factors which determine the quality of information systems and their related products. traditional approaches to data analysis usually cannot be implemented in sophisticated companies, where managers nee...

In this paper, the framework for a decision support tool for planning bills of material is presented. This tool generates a set of modular planning bills of material from the manufacturing bills of material for a company. The tool attempts to consolidate together options in a product family which are specific. The force with which the tool attempts to consolidate two or more options together is...

Crime and disorder reduction (CDR) research analysts („analysts‟) in a UK local authority have generated candidate improvements for enhancing geovisualization prototypes designed using humancentred methods (Lloyd et al., 2007; Lloyd et al., 2008). Prioritising these is an important process and may require modification to established decision support techniques due to the nature of geovisualizat...