Communications of the Korean Institute of Information Scientists and Engineers (정보과학회지)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
권호 표지

임상자연어처리 연구 동향

  • Published : 2017.05.20
Download PDF
⟨ Previous Next ⟩

Abstract

Keywords

References

  1. Hirschberg, J. and C. D. Manning, "Advances in natural language processing", Science, 349(6245): 261-266, 2015. https://doi.org/10.1126/science.aaa8685
  2. Jurafsky, D. and J. H. Martin, "Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. 2nd ed.", Pearson Prentice Hall, 2009.
  3. Ferrucci, D. and A. Lally, "UIMA: an architectural approach to unstructured information processing in the corporate research environment", Natural Language Engineering, 10(3-4): 327-348, 2004. https://doi.org/10.1017/S1351324904003523
  4. Cunningham DH, Maynard DD, Bontcheva DK, Tablan MV, "GATE: A framework and graphical development environment for robust NLP tools and applications", Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), p.168-175, Philadelphia, 2002.
  5. Masanz, J., et al., "Open Source Clinical NLP-More than Any Single System", AMIA Jt Summits Transl Sci Proc, 76-82, 2014.
  6. Demner-Fushman, D., et al., "What can natural language processing do for clinical decision support?", J Biomed Inform, 42(5): 760-772, 2009. https://doi.org/10.1016/j.jbi.2009.08.007
  7. Edward H. Shortliffe, James J. Cimino, "Biomedical Informatics: Computer Applications in Health Care and Biomedicine", p.255-284, Springer Science & Business Media, 2013.
  8. Thomas, A. A., et al., "Extracting data from electronic medical records: validation of a natural language processing program to assess prostate biopsy results.", World J Urol, 32(1): 99-103, 2014. https://doi.org/10.1007/s00345-013-1040-4
  9. Uzuner, O., et al., "Identifying Patient Smoking Status from Medical Discharge Records", J Am Med Inform Assoc, 15(1): 14-24, 2008. https://doi.org/10.1197/jamia.M2408
  10. Uzuner, O., "Recognizing Obesity and Comorbidities in Sparse Data", J Am Med Inform Assoc, 16 (4): 561-570, 2009. https://doi.org/10.1197/jamia.M3115
  11. Patrick, J. and M. Li, "High accuracy information extraction of medication information from clinical notes: 2009 i2b2 medication extraction challenge.", J Am Med Inform Assoc, 17(5): 524-527, 2010. https://doi.org/10.1136/jamia.2010.003939
  12. Uzuner, O., et al. "2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text", J Am Med Inform Assoc, 18 (5): 552-556, 2011. https://doi.org/10.1136/amiajnl-2011-000203
  13. Xu, Y., et al., "A classification approach to coreference in discharge summaries: 2011 i2b2 challenge.", J Am Med Inform Assoc, 19(5): 897-905, 2012. https://doi.org/10.1136/amiajnl-2011-000734
  14. Sun, W., et al., "Evaluating temporal relations in clinical text: 2012 i2b2 Challenge.", J Am Med Inform Assoc, 20(5): 806-813, 2013. https://doi.org/10.1136/amiajnl-2013-001628
  15. Stubbs, A., et al., "Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1.", J Biomed Inform, 58 Suppl: S11-19, 2015.
  16. Stubbs, A., et al., "Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2.", J Biomed Inform, 58 Suppl: S67-77, 2015.
  17. Leaman, R., et al., "Challenges in clinical natural language processing for automated disorder normalization.", J Biomed Inform, 57: 28-37, 2015. https://doi.org/10.1016/j.jbi.2015.07.010
  18. Friedman, C., et al., "Natural language processing: state of the art and prospects for significant progress, a workshop sponsored by the National Library of Medicine.", J Biomed Inform, 46(5): 765-773, 2013. https://doi.org/10.1016/j.jbi.2013.06.004
  19. Sager, N., et al., "Natural language processing and the representation of clinical data.", J Am Med Inform Assoc, 1(2): 142-160, 1994. https://doi.org/10.1136/jamia.1994.95236145
  20. Sager, N., et al., "Medical language processing: applications to patient data representation and automatic encoding.", Methods Inf Med, 34(1-2): 140-146, 1995. https://doi.org/10.1055/s-0038-1634579
  21. McCray, A. T., et al., "Lexical methods for managing variation in biomedical terminologies.", Proc Annu Symp Comput Appl Med Care, 235-239, 1994.
  22. Savova, G. K., et al., "Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications.", J Am Med Inform Assoc, 17(5): 507-513, 2010. https://doi.org/10.1136/jamia.2009.001560
  23. Zeng, Q. T., et al., "Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system.", BMC Med Inform Decis Mak, 6: 30, 2006. https://doi.org/10.1186/1472-6947-6-30