internet applications spreading and its high usage popularity result insignificant increasing of cyber-attacks. consequently, network security has becomea matter of importance and several methods have been developed for these attacks.for this purpose, intrusion detection systems (ids) are being used to monitor theattacks occurred on computer networks. data mining techniques, machinelearning, ne...

introduction: stroke is recognized as the third cause of mortality after cardiovascular and cancer diseases, so that lead to death of about 5 million people, annually. there are several scales to early prediction of at risk patients and decreasing the rate of mortality by transferring them to the stroke center. in the present study, the accuracy of cincinnati pre-hospital stroke scale was asses...

introduction: acute coronary syndrome accounts for more than 15% of the chest pains. recently, hess et al. developed north american chest pain rule (nacpr) to identify very low-risk patients who can be safely discharged from emergency department (ed). the present study aimed to validate this rule in eds of two academic hospitals. methods: a prospective diagnostic accuracy study was conducted on...

introduction: awareness about the outcome of trauma patients in the emergency department (ed) has become a topic of interest. accordingly, the present study aimed to compare the rapid trauma score (rts) and worthing physiological scoring system (wpss) in predicting in-hospital mortality and poor outcome of trauma patients. methods: in this comparative study trauma patients brought to five eds i...

objective: to develop decision-support tools to identify patients experiencing sudden cardiac arrest (sca). methods: eighty calls related to sca were content analyzed, and the contextual patterns that emerged were organized into a checklist. two researchers independently analyzed the recorded calls and compared their findings. eighteen dispatchers scored 20 cases (which included sca and non-sca...

in this paper we propose and construct fuzzy algebraic additive model, for the estimation of risk in various fields of human activities or nature’s behavior. though the proposed model is useful in a wide range of scientific fields, it was designed for to torrential risk evaluation in the area of river evros. clearly the model’s performance improves when the number of parameters and the actual d...

this paper provides a fuzzy based decision support system (dss) for risk analysis in e-tourism ( electronic tourism ) investment. in general term, e-tourism is the use of information and communication technology (ict) in tourism which may allow operating tourism in least variable cost, least time and increased work efficiency. it is worth noting that there are many factors that affect the deve...

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...