This review was conducted between December 2018 and March 2019 at Isfahan University of Medical Sciences. A review of various studies revealed what data mining techniques to predict the probability of survival, what risk factors for these predictions, what criteria for evaluating data mining techniques, and finally what data sources for it have been used to predict the surv...

Decision making with several choice options is central to cognition. To elucidate the neural mechanisms of such decisions, we investigated a recurrent cortical circuit model in which fluctuating spiking neural dynamics underlie trial-by-trial stochastic decisions. The model encodes a continuous analog stimulus feature and is thus applicable to multiple-choice decisions. Importantly, the continu...

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 ne...

In previous work, we showed that the critical engagement with a decision support system during its implementation by a project team is an important antecedent for the successful later use of the technology. However, the mechanisms that trigger such critical engagement are so far not well understood. Drawing on Heidegger’s modes of Being-in-the-world this paper provides a theoretical frame to un...

Currently, there are a variety of tools which exist to support decision making. Their existence highlights the desire to fully evaluate options and base choices on sound judgement. However, the choice of which of these tools to use is rarely based on any such evidence. Further, literature on individual psychological biases and group decision making suggest a number of reasons why decision maker...

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