Extraction des noms de médicaments dans les comptes rendus hospitaliers
作者： Suzanne Pereira , Catherine Letord , Stéfan J. Darmoni , Elisabeth Serrot
DOI: 10.1007/978-2-8178-0285-5_13
关键词: Natural language processing 、 Semantic mining 、 Artificial intelligence 、 Computer science 、 Terminology 、 Indexer 、 Computerized physician order entry
摘要: Background: We report here the implementation of a medication extraction system which extracts drugs names from French clinical texts, on basis Natural Language Processing algorithms (NLP). Within framework PSIP project, Multi- Terminology Indexer (FMTI) is used to extract drug-related information records for detection Adverse Drug Events (ADEs) that can endanger patients. FMTI needed in absence computerized physician order entry (CPOE), because then discharged summaries are only source about prescribed during hospitalization. Methods: uses appropriate terminologies (TUV, ATC, DCI, NC) with different using stemming and phonemization. performed two evaluations measure performances tool codes free-text documents: one algorithm other phonemization algorithm. Results: The performs better results algorithm: 97% precision 95% recall. Conclusion: For we showed semantic mining help drug- related CPOE.
springer.com
springerlink.com参考文章(16)
Elisabeth Serrot, Emmanuel Chazard, Saoussen Sakji, Stéfan Jacques Darmoni, Suzanne Pereira, Béatrice Merlin, Régis Beuscart, Can F-MTI semantic-mined drug codes be used for adverse drug events detection when no CPOE is available? Studies in health technology and informatics. ,vol. 160, pp. 1025- 1029 ,(2010)
Suzanne Pereira, Philippe Massari, Antoine Buemi, Badisse Dahamna, Elisabeth Serrot, Michel Joubert, Stefan J. Darmoni, F-MTI: outil d’indexation muititerminologique: application à l’indexation automatique de la SNOMED International Springer, Paris. pp. 57- 68 ,(2009) , 10.1007/978-2-287-99305-3_6
Elisabeth Serrot, Stéfan Jacques Darmoni, Suzanne Pereira, Michel Joubert, Blandine Plaisantin, Nicolas Rozanes, Michelle Korchia, Automatic construction of dictionaries, application to product characteristics indexing. medical informatics europe. ,vol. 150, pp. 512- 516 ,(2009)
Stéfan Jacques Darmoni, Philippe Massari, Suzanne Pereira, Michel Joubert, Aurélie Névéol, Construction of a semi-automated ICD-10 coding help system to optimize medical and economic coding. medical informatics europe. ,vol. 124, pp. 845- 850 ,(2006)
Pierre Zweigenbaum, Cyril Grouin, Louise Deléger, Extracting medication information from French clinical texts. Studies in health technology and informatics. ,vol. 160, pp. 949- 953 ,(2010)
William (Bill) Hersh, D. A. Evans, E. M. Campbell, N. D. Brownlow, Automating concept identification in the electronic medical record: an experiment in extracting dosage information. conference of american medical informatics association. pp. 388- 392 ,(1996)
Ankur M. Doshi, Matthew A. Levin, Marina Krol, David L. Reich, Extraction and mapping of drug names from free text to a standardized nomenclature. american medical informatics association annual symposium. ,vol. 2007, pp. 438- 442 ,(2007)
E. SIROHI, P. PEISSIG, Study of effect of drug lexicons on medication extraction from electronic medical records. pacific symposium on biocomputing. pp. 308- 318 ,(2004) , 10.1142/9789812702456_0029
Anoop D. Shah, Carlos Martinez, An algorithm to derive a numerical daily dose from unstructured text dosage instructions Pharmacoepidemiology and Drug Safety. ,vol. 15, pp. 161- 166 ,(2006) , 10.1002/PDS.1151
MFA Sigfried Gold, Noémie Elhadad, Xinxin Zhu, James J Cimino, George Hripcsak, None, Extracting structured medication event information from discharge summaries. american medical informatics association annual symposium. ,vol. 2008, pp. 237- 241 ,(2008)