OBJECTIVE To develop a clinical decision support system (CDSS) that models the different levels of the clinician's decision-making strategies when controlling post cardiac surgery patients weaned from cardio pulmonary bypass. METHODS A clinical trial was conducted to define and elucidate an expert anesthetists' decision pathway utilised in controlling this patient population. This data and de...

Hierarchical models are rather common in uncertainty theory. They arise when there is a ‘correct’ or ‘ideal’ (so-called first-order) uncertainty model about a phenomenon of interest, but the modeler is uncertain about what it is. The modeler’s uncertainty is then called second-order uncertainty. For most of the hierarchical models in the literature, both the firstand the second-order models are...

making decision has become one of the most challenging responsibilities of managers in recent decades. finding the optimum solution for multiple criteria decision making problems is complicated. notably, multiplicity of decision making indices accompanied by variability in quantitative and qualitative measures aggregates the complexity of decisions. operations research (or) and multiple criteri...

background and objectives: evidence increasingly highlights the impact of emotional intelligence in managers on the productivity and performance of their organizations. given the importance of decision-making in the management process, this study explored the relationship between emotional intelligence and decision-making quality in hospital managers. methods: a cross-sectional questionnaire-ba...