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Structuring medical information into a language-independent database.
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Modeling electronic discharge summaries as a simple temporal constraint satisfaction problem.
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ACE: the Advanced Cohort Engine for searching longitudinal patient records.
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High-fidelity phenotyping: richness and freedom from bias.
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Automated methods for the summarization of electronic health records.
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Dynamical phenotyping: using temporal analysis of clinically collected physiologic data to stratify populations.
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Temporal properties of diagnosis code time series in aggregate.
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Named entity recognition of follow-up and time information in 20,000 radiology reports.
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Root causes underlying challenges to secondary use of data.
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本文引用的文献

1
The evaluation of a temporal reasoning system in processing clinical discharge summaries.
J Am Med Inform Assoc. 2008 Jan-Feb;15(1):99-106. doi: 10.1197/jamia.M2467. Epub 2007 Oct 18.
2
Temporal reasoning with medical data--a review with emphasis on medical natural language processing.
J Biomed Inform. 2007 Apr;40(2):183-202. doi: 10.1016/j.jbi.2006.12.009. Epub 2007 Jan 11.

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