Artificial Intelligence
Artificial Intelligence - Special issue on knowledge representation
Combining qualitative and quantitative constraints in temporal reasoning
Artificial Intelligence
A framework for knowledge-based temporal abstraction
Artificial Intelligence
Maintaining knowledge about temporal intervals
Communications of the ACM
Two biomedical sublanguages: a description based on the theories of Zellig Harris
Journal of Biomedical Informatics - Special issue: Sublanguage
Managing time granularity of narrative clinical information: the temporal data model TIME-NESIS
TIME '96 Proceedings of the 3rd Workshop on Temporal Representation and Reasoning (TIME'96)
Journal of Biomedical Informatics - Patient safety
Temporal inferences in medical texts
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
Temporal reasoning for decision support in medicine
Artificial Intelligence in Medicine
Journal of Biomedical Informatics - Special section: JAMA commentaries
Temporal representation and reasoning in artificial intelligence: A review
Mathematical and Computer Modelling: An International Journal
Journal of Biomedical Informatics
Temporal Data Mining with Temporal Constraints
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Temporal annotation of clinical text
BioNLP '08 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
Distinguishing historical from current problems in clinical reports: which textual features help?
BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
ConText: an algorithm for identifying contextual features from clinical text
BioNLP '07 Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing
Marking time in developmental biology
BioNLP '07 Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing
Detecting Intuitive Mentions of Diseases in Narrative Clinical Text
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Journal of Biomedical Informatics
Time-oriented question answering from clinical narratives sing semantic-web techniques
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
Avian influenza: Temporal modeling of a human to human transmission case
Expert Systems with Applications: An International Journal
Mining personal experiences and opinions from Web documents
Web Intelligence and Agent Systems
A corpus of clinical narratives annotated with temporal information
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Journal of Biomedical Informatics
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Learning to temporally order medical events in clinical text
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Temporal classification of medical events
BioNLP '12 Proceedings of the 2012 Workshop on Biomedical Natural Language Processing
Journal of Biomedical Informatics
Temporal relation discovery between events and temporal expressions identified in clinical narrative
Journal of Biomedical Informatics
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Introduction. Time is an essential element in medical data and knowledge which is intrinsically connected with medical reasoning tasks. Many temporal reasoning mechanisms use constraint-based approaches. Our previous research demonstrates that electronic discharge summaries can be modeled as a simple temporal problem (STP).Objective. To categorize temporal expressions in clinical narrative text and to propose and evaluate a temporal constraint structure designed to model this temporal information and to support the implementation of higher-level temporal reasoning.Methods. A corpus of 200 random discharge summaries across 18 years was applied in a grounded approach to construct a representation structure. Then, a subset of 100 discharge summaries was used to tally the frequency of each identified time category and the percentage of temporal expressions modeled by the structure. Fifty random expressions were used to assess inter-coder agreement.Results. Six main categories of temporal expressions were identified. The constructed temporal constraint structure models time over which an event occurs by constraining its starting time and ending time. It includes a set of fields for the endpoint(s) of an event, anchor information, qualitative and metric temporal relations, and vagueness. In 100 discharge summaries, 1961 of 2022 (97%) identified temporal expressions were effectively modeled using the temporal constraint structure. Inter-coder evaluation of 50 expressions yielded exact match in 90%, partial match with trivial differences in 8%, partial match with large differences in 2%, and total mismatch in 0%.Conclusion. The proposed temporal constraint structure embodies a sufficient and successful implementation method to encode the diversity of temporal information in discharge summaries. Placing data within the structure provides a foundational representation upon which further reasoning, including the addition of domain knowledge and other post-processing to implement an STP, can be accomplished.