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(Journal of Biomedical Informatics[TA])
1,917 results
  • A Detailed Analysis of the Arden Syntax Expression Grammar. [Journal Article]
  • JBJ Biomed Inform 2018 May 15
  • Kraus S, Rosenbauer M, … Toddenroth D
  • CONCLUSIONS: Arden Syntax expressions are affected by anomalies. Since only a small proportion of them have practical relevance and they cannot cause false calculations or clinical decisions, their practical impact is likely limited. However, they may be potential points of confusion for knowledge engineers. An alternative expression grammar, based on a different encoding approach, would not only eliminate the anomalies, but could considerably facilitate both maintenance and further development of the standard.
  • Exploiting Semantic Patterns over Biomedical Knowledge Graphs for Predicting Treatment and Causative Relations. [Journal Article]
  • JBJ Biomed Inform 2018 May 12
  • Bakal G, Talari P, … Kavuluru R
  • CONCLUSIONS: We employed semantic graph patterns connecting pairs of candidate entities in a knowledge graph as features to predict treatment/causative relations between them. We provide what we believe is the first evidence in direct prediction of biomedical relations based on graph features. Our work complements lexical pattern based approaches in that the graph patterns can be used as additional features for weakly supervised relation prediction.
  • Usability Evaluation of a Medication Reconciliation Tool: Embedding Safety Probes to Assess Users' Detection of Medication Discrepancies. [Journal Article]
  • JBJ Biomed Inform 2018 May 08
  • Russ AL, Jahn MA, … Simon SR
  • CONCLUSIONS: Overall, detection of medication discrepancies was low. Findings indicate that more advanced interface designs are warranted. Future research is needed on how technologies can be designed to better aid HCPs' and patients' detection of medication discrepancies.This is one of the first studies to evaluate the usability of a collaborative medication reconciliation tool and assess HCPs' and patients' detection of medication discrepancies. Results demonstrate that embedded safety probes can enhance standard usability methods by measuring additional, clinically-focused usability outcomes. The novel safety probes we used may serve as an initial, standard set for future medication reconciliation research. More prevalent use of safety probes could strengthen usability research for a variety of health information technologies.
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