Background: Delirium as a clinical syndrome, if not diagnosed in time and not well treated, has a negative impact on the outcomes of intensive care patients. Despite its significance and occurrence, delirium continues to be detected at the lowest level. The purpose of this study was to determine whether intensive care unit nurses in Iraq are knowledgeable of delirium and can recognize it. Meth...

Subgroup discovery can be applied for exploration or descriptive induction in order to discover ”interesting” subgroups of the general population, given a certain property of interest. In domains with available background knowledge, the user usually wants to utilize this to improve the quality of the subgroup discovery results. We describe a knowledge-intensive approach for subgroup discovery u...

We present SmartCrowd, a framework for optimizing collaborative knowledge-intensive crowdsourcing. SmartCrowd distinguishes itself by accounting for human factors in the process of assigning tasks to workers. Human factors designate workers’ expertise in different skills, their expected minimum wage, and their availability. In SmartCrowd, we formulate task assignment as an optimization problem,...

Essentially all current software engineering tools share a common technological approach: They use a shallow representation of software objects and manipulate this representation using procedural methods. This approach has the benefit that it allows one to get off to a fast start and quickly provide a tool that delivers benefits. In addition, software engineering tools can undoubtedly be extend...

Abstract In this work, we present a phenomenon-oriented comparative analysis of the two dominant approaches in English Resource Semantic (ERS) parsing: classic, knowledge-intensive and neural, data-intensive models. To reflect state-of-the-art neural NLP technologies, factorization-based parser is introduced that can produce Elementary Dependency Structures much more accurately than previous da...