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Items: 1 to 20 of 171

1.

2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text.

Uzuner Ö, South BR, Shen S, DuVall SL.

J Am Med Inform Assoc. 2011 Sep-Oct;18(5):552-6. doi: 10.1136/amiajnl-2011-000203. Epub 2011 Jun 16.

2.

A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries.

Jiang M, Chen Y, Liu M, Rosenbloom ST, Mani S, Denny JC, Xu H.

J Am Med Inform Assoc. 2011 Sep-Oct;18(5):601-6. doi: 10.1136/amiajnl-2011-000163. Epub 2011 Apr 20.

3.

A knowledge discovery and reuse pipeline for information extraction in clinical notes.

Patrick JD, Nguyen DH, Wang Y, Li M.

J Am Med Inform Assoc. 2011 Sep-Oct;18(5):574-9. doi: 10.1136/amiajnl-2011-000302. Epub 2011 Jul 7.

4.

MITRE system for clinical assertion status classification.

Clark C, Aberdeen J, Coarr M, Tresner-Kirsch D, Wellner B, Yeh A, Hirschman L.

J Am Med Inform Assoc. 2011 Sep-Oct;18(5):563-7. doi: 10.1136/amiajnl-2011-000164. Epub 2011 Apr 22.

5.

A flexible framework for deriving assertions from electronic medical records.

Roberts K, Harabagiu SM.

J Am Med Inform Assoc. 2011 Sep-Oct;18(5):568-73. doi: 10.1136/amiajnl-2011-000152. Epub 2011 Jul 1.

6.

Automatic extraction of relations between medical concepts in clinical texts.

Rink B, Harabagiu S, Roberts K.

J Am Med Inform Assoc. 2011 Sep-Oct;18(5):594-600. doi: 10.1136/amiajnl-2011-000153.

7.

Hybrid methods for improving information access in clinical documents: concept, assertion, and relation identification.

Minard AL, Ligozat AL, Ben Abacha A, Bernhard D, Cartoni B, Deléger L, Grau B, Rosset S, Zweigenbaum P, Grouin C.

J Am Med Inform Assoc. 2011 Sep-Oct;18(5):588-93. doi: 10.1136/amiajnl-2011-000154. Epub 2011 May 19.

8.

Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010.

de Bruijn B, Cherry C, Kiritchenko S, Martin J, Zhu X.

J Am Med Inform Assoc. 2011 Sep-Oct;18(5):557-62. doi: 10.1136/amiajnl-2011-000150. Epub 2011 May 12.

9.

Using machine learning for concept extraction on clinical documents from multiple data sources.

Torii M, Wagholikar K, Liu H.

J Am Med Inform Assoc. 2011 Sep-Oct;18(5):580-7. doi: 10.1136/amiajnl-2011-000155. Epub 2011 Jun 27.

10.

Evaluating temporal relations in clinical text: 2012 i2b2 Challenge.

Sun W, Rumshisky A, Uzuner O.

J Am Med Inform Assoc. 2013 Sep-Oct;20(5):806-13. doi: 10.1136/amiajnl-2013-001628. Epub 2013 Apr 5. Review.

11.

Automated concept-level information extraction to reduce the need for custom software and rules development.

D'Avolio LW, Nguyen TM, Goryachev S, Fiore LD.

J Am Med Inform Assoc. 2011 Sep-Oct;18(5):607-13. doi: 10.1136/amiajnl-2011-000183. Epub 2011 Jun 22.

12.

Applying active learning to assertion classification of concepts in clinical text.

Chen Y, Mani S, Xu H.

J Biomed Inform. 2012 Apr;45(2):265-72. doi: 10.1016/j.jbi.2011.11.003. Epub 2011 Nov 22.

13.

Enhancing clinical concept extraction with distributional semantics.

Jonnalagadda S, Cohen T, Wu S, Gonzalez G.

J Biomed Inform. 2012 Feb;45(1):129-40. doi: 10.1016/j.jbi.2011.10.007. Epub 2011 Nov 7.

14.

Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries.

Xu Y, Hong K, Tsujii J, Chang EI.

J Am Med Inform Assoc. 2012 Sep-Oct;19(5):824-32. doi: 10.1136/amiajnl-2011-000776. Epub 2012 May 14.

15.

The Yale cTAKES extensions for document classification: architecture and application.

Garla V, Lo Re V 3rd, Dorey-Stein Z, Kidwai F, Scotch M, Womack J, Justice A, Brandt C.

J Am Med Inform Assoc. 2011 Sep-Oct;18(5):614-20. doi: 10.1136/amiajnl-2011-000093. Epub 2011 May 27.

16.

Development and evaluation of RapTAT: a machine learning system for concept mapping of phrases from medical narratives.

Gobbel GT, Reeves R, Jayaramaraja S, Giuse D, Speroff T, Brown SH, Elkin PL, Matheny ME.

J Biomed Inform. 2014 Apr;48:54-65. doi: 10.1016/j.jbi.2013.11.008. Epub 2013 Dec 4.

17.

Evaluating the state of the art in coreference resolution for electronic medical records.

Uzuner O, Bodnari A, Shen S, Forbush T, Pestian J, South BR.

J Am Med Inform Assoc. 2012 Sep-Oct;19(5):786-91. doi: 10.1136/amiajnl-2011-000784. Epub 2012 Feb 24. Review.

18.

Qualitative analysis of workflow modifications used to generate the reference standard for the 2010 i2b2/VA challenge.

South BR, Shen S, Barrus R, DuVall SL, Uzuner O, Weir C.

AMIA Annu Symp Proc. 2011;2011:1243-51. Epub 2011 Oct 22.

19.

Recognition of medication information from discharge summaries using ensembles of classifiers.

Doan S, Collier N, Xu H, Pham HD, Tu MP.

BMC Med Inform Decis Mak. 2012 May 7;12:36. doi: 10.1186/1472-6947-12-36.

20.

A rule based solution to co-reference resolution in clinical text.

Chen P, Hinote D, Chen G.

J Am Med Inform Assoc. 2013 Sep-Oct;20(5):891-7. doi: 10.1136/amiajnl-2011-000770. Epub 2012 Oct 11.

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