Yearbook of Medical Informatics, Inhaltsverzeichnis Yearb Med Inform 2008; 17(01): 80-82DOI: 10.1055/s-0038-1638586 Original Article Georg Thieme Verlag KG Stuttgart Decision Support, Knowledge Representation and Management: Structuring Knowledge for Better Access Findings from the Yearbook 2008 Section on Decision Support, Knowledge Representation and Management A.-M. Rassinoux 1 University Hospitals of Geneva, Geneva, Switzerland , Managing Editor for the IMIA Yearbook Section on Decision Support, Knowledge Representation and Management › Institutsangaben Artikel empfehlen Abstract Volltext als PDF herunterladen Keywords KeywordsNatural language processing - knowledge representation - ontologies - information retrieval - reasoning Referenzen References 1 Kumar A, Smith B. Biomedical informatics and granularity. Comp Funct Genomics 2004; 05: 501-8. 2 Tange HJ, Schouten HC, Kester ADM, Hasman A. The granularity of medical narratives and its effect on the speed and completeness of information retrieval. J Am Med Inform Assoc 1998; 05: 571-82. 3 Lovis C, Baud RH, Planche P. Power of expression in the electronic patient record: structured data or narrative text?. Int J Med Inform 2000; 58-59: 101-10. 4 Bernstein K, Bruun-Rasmussen M, Vingtoft S. A method for specification of structured clinical content in electronic health records. Stud Health Technol Inform 2006; 124: 515-21. 5 Los RK, van Ginneken AM, de Wilde M, van der Lei J. OpenSDE: Row modeling applied to generic structured data entry. JAm Med InformAssoc 2004; 11 (02) 162-5. 6 Friedman C, Hripcsak G. Natural language processing and its future in medicine. Acad Med 1999; 74 (08) 890-5. 7 Chen L, Friedman C. Extracting phenotypic information from the literature via natural language processing. Medinfo 2004; 11 Pt2 758-62. 8 Stenzhorn H, Beisswanger E, Schulz S. Towards a top-domain ontology for linking biomedical ontologies. Medinfo 2007; 12 Pt2 1225-9. 9 Hung PW, Johnson SB, Kaufman DR, Mendonça EA. A multi-level model of information seeking in the clinical domain. J Biomed Inform 2008; 41: 357-70. 10 Augusto JC. Temporal reasoning for decision support in medicine. Artif Intell Med 2005; 33 (01) 1-24. 11 Zhou L, Hripcsak G. Temporal reasoning with medical data - a review with emphasis on medical natural language processing. J Biomed Inform 2007; 40 (02) 183-202. 12 Huang Y, Lowe HJ. A novel hybrid approach to automated negation detection in clinical radiology reports. JAm Med InformAssoc 2007; 14 (03) 304-11. 13 Fan JW, Friedman C. Semantic classification of biomedical concepts using distributional similarity. J Am Med Inform Assoc 2007; 14 (04) 467-77. 14 Moskovitch R, Martins SB, Behiri E, Weiss A, Shahar Y. A comparative evaluation of full-text, concept-based, and context-sensitive search. J Am Med Inform Assoc 2007; 14 (02) 164-74. 15 Kuperman GJ, Bobb A, Payne TH, Avery AJ, Gandhi TK, Burns G. et al. Medication-related clinical decision support in computerized provider order entry systems: a review. J Am Med Inform Assoc 2007; 14 (01) 29-40. 16 Brigl B. Decision Support, Knowledge Representation and Management: A broad methodological spectrum. In Haux R, Kulikowski C. editors. IMIA Yearbook of Medical informatics 2006. Methods Inf Med. 2006. 45 Suppl 1: 81-3. 17 Meystre S. Electronic patient records: Some answers to the data representation and reuse challenges. In Geissbuhler A, Haux R, Kulikowski C. editors IMIAYearbook of Medical Informatics. 2007: 47-8. 18 Fujii H, Yamagishi H, Ando Y, Tsukamoto N, Kawaguchi O, Kasamatsu T. et al. Structuring of free-text diagnostic report. Medinfo 2007; 12 Pt1 669-73. 19 Chen ES, Hripcsak G, Friedman C. Disseminating natural language processed clinical narratives. AMIA Annu Symp Proc 2006; 126-30. 20 Johnson SB, Bakken S, Dine D, Hyun S, Mendonça E, Morrison F. et al. An electronic health record based on structured narrative. J Am Med Inform Assoc 2008; 15 (01) 54-64.
