Applied Clinical Informatics, Inhaltsverzeichnis Appl Clin Inform 2015; 06(02): 364-374DOI: 10.4338/ACI-2014-10-RA-0088 Research Article Schattauer GmbH A Preliminary Study of Clinical Abbreviation Disambiguation in Real Time Y. Wu 1 School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA , J. C. Denny 2 Department of Biomedical Informatics Camridge, Vanderbilt University, Nashville, Tennessee, USA , S. T. Rosenbloom 2 Department of Biomedical Informatics Camridge, Vanderbilt University, Nashville, Tennessee, USA , R. A. Miller 2 Department of Biomedical Informatics Camridge, Vanderbilt University, Nashville, Tennessee, USA , D. A. Giuse 2 Department of Biomedical Informatics Camridge, Vanderbilt University, Nashville, Tennessee, USA , M. Song 3 Department of Library and Information Science, Yonsei University, Seoul, Korea , H. Xu 1 School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA › InstitutsangabenArtikel empfehlen Abstract Volltext als PDF herunterladen Keywords KeywordsClinical abbreviation - machine learning - clinical documentation system Referenzen References 1 Berman JJ. Pathology abbreviated: a long review of short terms. Arch Pathol Lab Med 2004; 128 (03) 347-352. 2 Stetson PD, Johnson SB, Scotch M, Hripcsak G. The sublanguage of cross-coverage. Proc AMIA Symp 2002: 742-746. 3 Xu H, Stetson PD, Friedman C. A study of abbreviations in clinical notes. AMIA Annu Symp Proc 2007: 821-825. 4 Dawson Kp Fau ’Capaldi N Capaldi N, Fau–Haydon M Haydon M, Fau–Penna AC Penna AC. The paediatric hospital medical record: a quality assessment. 19920731 DCOM- 19920731(0726–3139 (Print)). 5 Walsh KE, Gurwitz JH. Medical abbreviations: writing little and communicating less. 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