Temporal reasoning over clinical text: the state of the art |
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Authors: | Weiyi Sun Anna Rumshisky Ozlem Uzuner |
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Institution: | 1.Department of Informatics, University at Albany, SUNY, Albany, New York, USA;2.Department of Computer Science, University of Massachusetts, Lowell, Massachusetts, USA;3.Department of Information Studies, University at Albany, SUNY, Albany, New York, USA |
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Abstract: | ObjectivesTo provide an overview of the problem of temporal reasoning over clinical text and to summarize the state of the art in clinical natural language processing for this task.Target audienceThis overview targets medical informatics researchers who are unfamiliar with the problems and applications of temporal reasoning over clinical text.ScopeWe review the major applications of text-based temporal reasoning, describe the challenges for software systems handling temporal information in clinical text, and give an overview of the state of the art. Finally, we present some perspectives on future research directions that emerged during the recent community-wide challenge on text-based temporal reasoning in the clinical domain. |
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Keywords: | Temporal reasoning Natural language processing Medical language processing |
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