Enhanced information retrieval from narrative german-language clinical text documents using automated document classification

Studies in Health Technology and Informatics

Volumn 136, Issue , 2008, Pages 473-478

  Spat, Stephan ^a   Cadonna, Bruno ^a   Rakovac, Ivo ^a   Gütl, Christian ^b   Leitner, Hubert ^c   Stark, Günther ^c   Beck, Peter ^a  

^a JOANNEUM RESEARCH   (Austria)

^b GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

^c Steiermärkische Krankenanstaltenges M b H   (Austria)

Author keywords

Classification; Data analysis extraction tools; EPR CPR EMR

Indexed keywords

DATA MINING; DECISION MAKING; INFORMATION RETRIEVAL; INFORMATION RETRIEVAL SYSTEMS; MEDICAL COMPUTING; MEDICAL INFORMATION SYSTEMS; METADATA; OPEN SYSTEMS; SEARCH ENGINES; TEXT PROCESSING; CLASSIFICATION (OF INFORMATION); MEDICAL INFORMATICS; TEXT MINING;

DOCUMENT CLASSIFICATION; ELECTRONIC PATIENT RECORD; HOSPITAL INFORMATION SYSTEMS; J2EE WEB APPLICATION; MEDICAL DECISION MAKING; MULTI LABEL CLASSIFICATION; OPEN SOURCE INFORMATION; RETRIEVAL FRAMEWORKS;

CLASSIFICATION (OF INFORMATION); MEDICAL INFORMATION SYSTEMS;

ADULT; CONFERENCE PAPER; DATA ANALYSIS; DATA MINING; ELECTRONIC PATIENT RECORD; EXTRACTION; GERMAN (LANGUAGE); HUMAN; INFORMATION RETRIEVAL; MEDICAL DECISION MAKING; MEDICAL INFORMATION; METADATA; MULTILABEL CLASSIFICATION; NARRATIVE; PHYSICIAN;

EID: 44349194043     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (16)

1. Kraßnitzer M. EDV im Spital: Der Patient auf Knopfdruck, CliniCum, 7-8/2006, Online; http://www.medical-tribune.at/dynasite.cfm?dssid= 4171&dsmid=74897 &dspaid=582979, last accessed: 2007-10-18.
2. Leitner H. openMEDOCS erfolgreich eingeführt, G'sund.net, 50/2006, Online: http://www.gsund.net/cms/beitrag/10073293/2052790, last accessed: 2007-11-15.
3. Dolin RH, Alschuler L, Boyer S, Beebe C, Behlen FM, Biron PV, Shabo Shvo A. HL7 Clinical Document Architecture, Release 2. J Am Med Inform Assoc. 2006 Jan - Feb; 13(1): 30-39.
4. Müller M, Markoacute; K, Daumke P, Paetzold J, Roesner A, Klar R. Biomedical data mining in clinical routine: expanding the impact of hospital information systems. Stud Health Technol Inform. 2007;129:340-4.
5. Marko K, Schulz S, and Hahn U. MorphoSaurus - design and evaluation of an interlingua-based, cross-language document retrieval engine for the medical domain. Methods Inf Med 2005: 44(4): 537-545.
6. Ehrler F, Ruch P, Geissbuhler A, Lovis C. Challenges and methodology for indexing the computerized patient record. Stud Health Technol Inform. 2007;129:417-21.
7. † information needs. AMIA Annu Symp Proc. 2003;:815.
8. Currie LM, Graham M, Allen M, Bakken S, Patel V, Cimino JJ. Clinical information needs in context: an observational study of clinicians while using a clinical information system. AMIA Annu Symp Proc. 2003;:190-4.
9. Spat S, Cadonna B, Rakovac I, Gütl C, Leitner H, Stark G, Beck P. Multi-label text classification of German language medical documents. Stud Health Technol Inform. 2007;129:1460-1.
10. Witten, I. H., and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques, second ed., Morgan Kaufmann, San Francisco, 2005.
11. Quinlan, JR. C4.5: Programs for Machine Learning, Morgan Kaufmann, 1993.
12. Platt J. Fast training of support vector machines using sequential minimal optimization, In B. Scholkopf B, Burges C and Smola A, Advances in Kernel Methods - Support Vector Learning, MIT Press, 1998.
13. Aha DW, Kibler D, Albert, MK. Instance-based learning algorithms, Machine Learning; 6(1): 37-66, 1991.
14. John G, Langley P. Estimating continuous distributions in bayesian classifiers, paper presented to Proceedings of the 11th Conference on Uncertainty in Artificial Intelligence, Vancoucer, Canada, 1995.
15. Hripcsak G, Rothschild AS: Agreement, the F-Measure, and Reliability in Information Retrieval. J Am Med Inform Assoc. 2005; 12(3): 296-298.
16. Apache Lucene: http://lucene.apache.org/, last accessed: 2007-10-17.