Contextualization in automatic extraction of drugs from hospital patient records

Studies in Health Technology and Informatics

Volumn 169, Issue , 2011, Pages 527-531

  Boytcheva, Svetla ^a,c   Tcharaktchiev, Dimitar ^b   Angelova, Galia ^a  

^a INSTITUTE OF INFORMATION AND COMMUNICATION TECHNOLOGIES   (Bulgaria)

^b MEDICAL UNIVERSITY OF SOFIA   (Bulgaria)

^c UNIVERSITY OF LIBRARY STUDIES AND INFORMATION TECHNOLOGIES   (Bulgaria)

Author keywords

Automatic IE from Patient Records; Natural Language Processing (NLP); Structuring and Contextualization of medication events

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS; PETROLEUM RESERVOIR EVALUATION;

AUTOMATIC EXTRACTION; AUTOMATIC RECOGNITION; CONTEXTUALIZATION; DISCHARGE LETTERS; EVALUATION RESULTS; LINGUISTIC EXPRESSIONS; PATIENT RECORD;

HOSPITALS;

EID: 83055161786     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-806-9-527     Document Type: Conference Paper

References (10)

1. Demner-Fushman, D., W. Chapman and C. McDonald. What can natural language processing do for clinical decision support? Journal of Biomedical Informatics, 42(5), October 2009, pp. 760-772.
2. Hobbs, J. and E. Riloff. Information Extraction, In: Indurkhya, N. and F. J. Damerau (Eds.) Handbook of Natural Language Processing, 2nd Ed., Chapman & Hall/CRC Press, Taylor & Francis Group, 2010.
3. Xu.H., S. P Stenner, S. Doan, K. B. Johnson, L. R. Waitman, and J. C. Denny. MedEx: a medication information extraction system for clinical narratives. JAMIA 17 (2010), pp. 19-24.
4. Third i2b2 Shared-Task and Workshop "Challenges in Natural Language Processing for Clinical Data: Medication Extraction Challenge", https://www.i2b2.org/NLP/Medication/, last visited April 2011.
5. Boytcheva, S. Shallow Medication Extraction from Hospital Patient Record, To appear in the Proc. 2nd Int. PSIP Workshop on Patient Safely through Intelligent Procedures in medication, Paris, May 2011.
6. PSIP project: Patient Safely through Intelligent Procedures in medication, http://www.psip-project.eu, European Community's 7FP, Information and Communication Technologies Programme.
7. Merlin B., E. Chazard, S. Pereira, E. Serrot, S. Sakji, R. Beuscart, and S. Darmoni. Can F-MTI semantic-mined drug codes be used for Adverse Drug Events detection when no CPOE is available? In Studies in Health Technology and Informatics, Proc. 13th World Congress on Medical Informatics, Cape Town, South Africa, Volume 160, Number pt 1, 2010, pp. 1025-1029.
8. National Framework Contract between the National Health Insurance Fund, the Bulgarian Medical Association and the Bulgarian Dental Association, Official State Gazette No106/30.12.2005, updates No68/22.08.2006 and No101/15.12.2006, Sofia, Bulgaria, http://dv.parliament.bg/.
9. Boytcheva, S., A. Strupchanska, E. Paskaleva, and D. Tcharaktchiev, Some Aspects of Negation Processing in Electronic Health Records. In Proc. of International Workshop Language and Speech Infrastructure for Information Access in the Balkan Countries, 2005, Borovets, Bulgaria, pp. 1-8.
10. Karanikolas, N. and C. Skourlas. Automatic Diagnosis Classification of patient discharge letters. In Health Data in the Information Society, Proceedings of MIE2002, Stud. Health Technology and Informatics, vol. 90, IOS Press, 2002, pp. 444-449.