Semantic Retrieval and Navigation in Clinical Document Collections

Studies in Health Technology and Informatics

Volumn 212, Issue , 2015, Pages 9-14

  Kreuzthaler, Markus ^a   Daumke, Philipp ^b   Schulz, Stefan ^a  

^a MEDICAL UNIVERSITY OF GRAZ   (Austria)

^b AVERBIS GMBH   (Germany)

Author keywords

Data Mining; Health Records; Information Storage and Retrieval; Personal

Indexed keywords

DIAGNOSIS; DIGITAL STORAGE; DISEASES; INDEXING (MATERIALS WORKING); NATURAL LANGUAGE PROCESSING SYSTEMS; NAVIGATION; PATIENT TREATMENT; SEARCH ENGINES; SEMANTICS; TEXT PROCESSING;

DOCUMENT ANNOTATION; DOCUMENT COLLECTION; ELECTRONIC RECORDS; HEALTH RECORDS; INFORMATION STORAGE AND RETRIEVAL; PERSONAL; SEMANTIC ENRICHMENT; SEMANTIC RETRIEVAL;

DATA MINING;

COMPUTER INTERFACE; CONTROLLED VOCABULARY; DATA MINING; ELECTRONIC HEALTH RECORD; MACHINE LEARNING; NATURAL LANGUAGE PROCESSING; ORGANIZATION AND MANAGEMENT; PROCEDURES; SEMANTICS; SOFTWARE; WEB BROWSER;

DATA MINING; ELECTRONIC HEALTH RECORDS; MACHINE LEARNING; NATURAL LANGUAGE PROCESSING; SEMANTICS; SOFTWARE; USER-COMPUTER INTERFACE; VOCABULARY, CONTROLLED; WEB BROWSER;

EID: 84951932338     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-61499-524-1-9     Document Type: Conference Paper

References (21)

1. Christensen, T., & Grimsmo, A. (2008). Instant availability of patient records, but diminished availability of patient information: a multi-method study of GP's use of electronic patient records. BMC Medical Informatics and Decision Making, 8(1), 12.
2. Friedman, C., & Elhadad, N. (2014). Natural language processing in health care and biomedicine. In Biomedical Informatics (pp. 255-284). Springer London.
3. Meystre, S. M., et al. (2008). Extracting information from textual documents in the electronic health record: a review of recent research. Yearb Med Inform, 35, 128-44.
4. Hripcsak, G., & Albers, D. J. (2012). Next-generation phenotyping of electronic health records. Journal of the American Medical Informatics Association, amiajnl-2012.
5. Jensen, P. B., Jensen, L. J., & Brunak, S. (2012). Mining electronic health records: towards better research applications and clinical care. Nature Reviews Genetics, 13(6), 395-405.
6. Chapman, W. W. et al. Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions. JAMIA 18(5), 540-543.
7. ELGA, http://www.elga.gv.at/, last access: 30.01.2015.
8. talend, http://www.talend.com/products/talend-open-studio, last access: 30.01.2015
9. Apache Solr, http://lucene.apache.org/solr/, lasst access: 30.01.2015
10. Apache UIMA, https://uima.apache.org/, last access: 30.01.2015
11. Savova, G. K. et al. (2010). Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications. Journal of the American Medical Informatics Association,17(5), 507-513.
12. Coden, A. et al. (2009). Automatically extracting cancer disease characteristics from pathology reports into a Disease Knowledge Representation Model. Journal of Biomedical Informatics, 42(5), 937-949.
13. MedKAT, http://ohnlp.sourceforge.net/MedKATp/#d4e5, last access: 30.01.2015
14. Savova, G., Kipper-Schuler, K., Buntrock, J., & Chute, C. (2008). UIMA-based clinical information extraction system. Towards enhanced interoperability for large HLT systems: UIMA for NLP, 39.
15. Apache openNLP, https://opennlp.apache.org/, last access: 30.01.2015
16. Apache Lucene, http://lucene.apache.org/core/, last access: 30.01.2015
17. Markó, K. et al. (2005). MorphoSaurus-Design and Evaluation of an Interlingua-based, Cross-language Document Retrieval Engine for the Medical Domain. Methods Inf Med, 44(4), 537-545.
18. Chapman, W. Wet al. (2001). A simple algorithm for identifying negated findings and diseases in discharge summaries. Journal of Biomedical Informatics, 34(5), 301-310.
19. Natarajan, K., Stein, D., Jain, S., & Elhadad, N. (2010). An analysis of clinical queries in an electronic health record search utility. International Journal of Medical Informatics, 79, 515-522.
20. Zheng, K., Mei, Q., & Hanauer, D. A. (2011). Collaborative search in electronic health records. Journal of the American Medical Informatics Association, 18(3), 282-291.
21. Hearst, M. (2009). Search user interfaces. Cambridge University Press.