참고문헌 (40)

1. J. Am. Med. Inform. Assoc. Uzuner 14 5 550 2007 10.1197/jamia.M2444 Evaluating the state-of-the-art in automatic de-identification 

   상세보기

2. J. Am. Med. Inform. Assoc. Uzuner 15 1 14 2008 10.1197/jamia.M2408 Identifying patient smoking status from medical discharge records 

   상세보기

3. J. Am. Med. Inform. Assoc. Uzuner 16 4 561 2009 10.1197/jamia.M3115 Recognizing obesity and comorbidities in sparse data 

   상세보기

4. J. Am. Med. Inform. Assoc. Uzuner 17 5 514 2010 10.1136/jamia.2010.003947 Extracting medication information from clinical text 

   상세보기

5. J. Am. Med. Inform. Assoc. Uzuner 17 5 519 2010 10.1136/jamia.2010.004200 Community annotation experiment for ground truth generation for the i2b2 medication challenge 

   상세보기

6. J. Am. Med. Inform. Assoc. Uzuner 19 5 786 2012 10.1136/amiajnl-2011-000784 Evaluating the state of the art in coreference resolution for electronic medical records 

   상세보기

7. J. Am. Med. Inform. Assoc. Uzuner 18 5 552 2011 10.1136/amiajnl-2011-000203 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text 

   상세보기

8. J. Am. Med. Inform. Assoc. Sun 20 5 806 2013 10.1136/amiajnl-2013-001628 Evaluating temporal relations in clinical text: 2012 i2b2 challenge 

   상세보기

9. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM Park 453 2012 10.1145/2207676.2207739 V-model: a new innovative model to chronologically visualize narrative clinical texts 

   

10. Lafferty John, Andrew McCallum, and Fernando CN Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. (2001). 

11. S.V.M. Mallet http://mallet.cs.umass.edu/index.php. 

12. J. Am. Med. Inform. Assoc. Xu 19 5 824 2012 10.1136/amiajnl-2011-000776 Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries 

    상세보기

13. J. Am. Med. Inform. Assoc. Rink 18 5 594 2011 10.1136/amiajnl-2011-000153 Automatic extraction of relations between medical concepts in clinical texts 

    상세보기

14. Jang 553 2006 Information Retrieval Technology Text mining for medical documents using a Hidden Markov Model 

15. Trausti Kristjansson, Aron Culotta, Paul Viola, and Andrew McCallum. Interactive information extraction with constrained conditional random fields. AAAI. Vol. 4. (2004) 412-418. 

16. Proceedings of the Main Conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics. Association for Computational Linguistics Culotta 296 2006 10.3115/1220835.1220873 Integrating probabilistic extraction models and data mining to discover relations and patterns in text 

    

17. UMLS Knowledge Base. http://www.nlm.nih.gov/research/umls. 

18. C.T. SNOMED http://www.ihtsdo.org/snomed-ct. 

19. MESH Knowledge Base. http://www.ncbi.nlm.nih.gov/mesh. 

20. Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM Wang 713 2008 10.1145/1401890.1401976 Building semantic kernels for text classification using wikipedia 

    

21. Savova Vol. 2009 568 2009 Towards temporal relation discovery from the clinical narrative 

22. Proceedings of the 2010 i2b2/VA Workshop on Challenges in Natural Language Processing for Clinical Data. i2b2 Patrick 2010 I2b2 challenges in clinical natural language processing 2010 

23. Proceedings of the 2010 i2b2/VA Workshop on Challenges in Natural Language Processing for Clinical Data. i2b2 Roberts 2010 Extraction of medical concepts, assertions, and relations from discharge summaries for the fourth i2b2/VA shared task 

24. Proceedings of the 2010 i2b2/VA Workshop on Challenges in Natural Language Processing for Clinical Data. i2b2 Dina 2010 NLM’s system description for the fourth i2b2/VA challenge 

25. Xuan Do 677 2012 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning Joint inference for event timeline construction 

26. J. Am. Med. Inform. Assoc. Tang 20 5 828 2013 10.1136/amiajnl-2013-001635 A hybrid system for temporal information extraction from clinical text 

    상세보기

27. J. Am. Med. Inform. Assoc. Xu 20 5 849 2013 10.1136/amiajnl-2012-001607 An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challenge 

    상세보기

28. J. Am. Med. Inform. Assoc. Cherry 20 5 843 2013 10.1136/amiajnl-2013-001624 A la recherche du temps perdu: extracting temporal relations from medical text in the 2012 i2b2 NLP challenge 

    상세보기

29. J. Am. Med. Inform. Assoc. Roberts 20 5 867 2013 10.1136/amiajnl-2013-001619 A flexible framework for recognizing events, temporal expressions, and temporal relations in clinical text 

    상세보기

30. Li Vol. 2012 2012 Extracting temporal information from electronic patient records 

31. AMIA Summits on Translational Science Proceedings Regina Boland 71 2012 EliXR-TIME: a temporal knowledge representation for clinical research eligibility criteria 

32. J. Biomed. Inform. Nikfarjam 46 40 2013 10.1016/j.jbi.2013.11.001 Towards generating a patient’s timeline: extracting temporal relationships from clinical notes 

    상세보기

33. Proceedings of BioNLP 2011 Workshop. Association for Computational Linguistics Jung 146 2011 Building timelines from narrative clinical records: initial results based-on deep natural language understanding 

34. Binh Tran 91 2013 Proceedings of the 22nd International Conference on World Wide Web Companion Predicting relevant news events for timeline summaries 

35. Bethard 129 2007 Proceedings of the 4th International Workshop on Semantic Evaluations CU-TMP: Temporal relation classification using syntactic and semantic features 

36. Min 219 2007 Proceedings of the 4th International Workshop on Semantic Evaluations LCC-TE: a hybrid approach to temporal relation identification in news text 

37. http://www.nltk.org/api/nltk.classify.html#module-nltk.classify.naivebayes. 

38. J. Am. Med. Inform. Assoc. Denny 17 4 383 2010 10.1136/jamia.2010.004804 Extracting timing and status descriptors for colonoscopy testing from electronic medical records 

    상세보기

39. J. Biomed. Inform. Zhou 39 4 424 2006 10.1016/j.jbi.2005.07.002 A temporal constraint structure for extracting temporal information from clinical narrative 

    상세보기

40. Phys. Med. Biol. Bazzani 46 6 1651 2001 10.1088/0031-9155/46/6/305 An SVM classifier to separate false signals from microcalcifications indigital mammograms 

    상세보기