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Items: 1 to 20 of 150

1.

Machine learning-based coreference resolution of concepts in clinical documents.

Ware H, Mullett CJ, Jagannathan V, El-Rawas O.

J Am Med Inform Assoc. 2012 Sep-Oct;19(5):883-7. doi: 10.1136/amiajnl-2011-000774. Epub 2012 May 12.

2.

A classification approach to coreference in discharge summaries: 2011 i2b2 challenge.

Xu Y, Liu J, Wu J, Wang Y, Tu Z, Sun JT, Tsujii J, Chang EI.

J Am Med Inform Assoc. 2012 Sep-Oct;19(5):897-905. doi: 10.1136/amiajnl-2011-000734. Epub 2012 Apr 13.

3.

MCORES: a system for noun phrase coreference resolution for clinical records.

Bodnari A, Szolovits P, Uzuner Ö.

J Am Med Inform Assoc. 2012 Sep-Oct;19(5):906-12. doi: 10.1136/amiajnl-2011-000591. Epub 2012 Mar 14.

4.

Coreference analysis in clinical notes: a multi-pass sieve with alternate anaphora resolution modules.

Jonnalagadda SR, Li D, Sohn S, Wu ST, Wagholikar K, Torii M, Liu H.

J Am Med Inform Assoc. 2012 Sep-Oct;19(5):867-74. doi: 10.1136/amiajnl-2011-000766. Epub 2012 Jun 16.

5.

Coreference resolution of medical concepts in discharge summaries by exploiting contextual information.

Dai HJ, Chen CY, Wu CY, Lai PT, Tsai RT, Hsu WL.

J Am Med Inform Assoc. 2012 Sep-Oct;19(5):888-96. doi: 10.1136/amiajnl-2012-000808. Epub 2012 May 3.

6.

A supervised framework for resolving coreference in clinical records.

Rink B, Roberts K, Harabagiu SM.

J Am Med Inform Assoc. 2012 Sep-Oct;19(5):875-82. doi: 10.1136/amiajnl-2012-000810. Epub 2012 May 19.

7.

Using domain knowledge and domain-inspired discourse model for coreference resolution for clinical narratives.

Jindal P, Roth D.

J Am Med Inform Assoc. 2013 Mar-Apr;20(2):356-62. doi: 10.1136/amiajnl-2011-000767. Epub 2012 Jul 10.

8.

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.

9.

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.

10.

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.

11.

Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features.

Tang B, Cao H, Wu Y, Jiang M, Xu H.

BMC Med Inform Decis Mak. 2013;13 Suppl 1:S1. doi: 10.1186/1472-6947-13-S1-S1. Epub 2013 Apr 5.

12.

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.

13.

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.

14.

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.

15.

Detecting abbreviations in discharge summaries using machine learning methods.

Wu Y, Rosenbloom ST, Denny JC, Miller RA, Mani S, Giuse DA, Xu H.

AMIA Annu Symp Proc. 2011;2011:1541-9. Epub 2011 Oct 22.

16.
17.

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.

18.

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.

19.

A knowledge-driven approach to biomedical document conceptualization.

Zheng HT, Borchert C, Jiang Y.

Artif Intell Med. 2010 Jun;49(2):67-78. doi: 10.1016/j.artmed.2010.02.005. Epub 2010 Apr 3.

PMID:
20371168
20.

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.

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