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A Semi-Automatic Framework to Identify Abnormal States in EHR Narratives.

, , , , , and . MedInfo, volume 245 of Studies in Health Technology and Informatics, page 910-914. IOS Press, (2017)

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A Semi-Automatic Framework to Identify Abnormal States in EHR Narratives., , , , , and . MedInfo, volume 245 of Studies in Health Technology and Informatics, page 910-914. IOS Press, (2017)Towards Structuring Clinical Texts: Joint Entity and Relation Extraction from Japanese Case Report Corpus., , , and . MedInfo, volume 310 of Studies in Health Technology and Informatics, page 559-563. IOS Press, (2023)The Impact of "Possible Patients" on Phenotyping Algorithms: Electronic Phenotype Algorithms Can Only Be Reproduced by Sharing Detailed Annotation Criteria., , , , and . MedInfo, volume 245 of Studies in Health Technology and Informatics, page 432-436. IOS Press, (2017)EHR2CCAS: A framework for mapping EHR to disease knowledge presenting causal chain of disorders - chronic kidney disease example., , , , , , and . J. Biomed. Informatics, (2021)Can Staff Distinguish Falls: Experimental Hypothesis Verification Using Japanese Incident Reports and Natural Language Processing., , and . Nursing Informatics, volume 250 of Studies in Health Technology and Informatics, page 159-163. IOS Press, (2018)A Qualitative Model for Physiology: Apart from Function and Abnormality., , , , and . MedInfo, volume 192 of Studies in Health Technology and Informatics, page 984. IOS Press, (2013)An Analysis of the Openehr Archetype Semantics Based on a Typed Lambda Theory., , , , and . MedInfo, volume 192 of Studies in Health Technology and Informatics, page 990. IOS Press, (2013)