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Items: 20

1.
2.

Analysis of eligibility criteria complexity in clinical trials.

Ross J, Tu S, Carini S, Sim I.

AMIA Jt Summits Transl Sci Proc. 2010 Mar 1;2010:46-50.

3.

Corpus-based Approach to Creating a Semantic Lexicon for Clinical Research Eligibility Criteria from UMLS.

Luo Z, Duffy R, Johnson S, Weng C.

AMIA Jt Summits Transl Sci Proc. 2010 Mar 1;2010:26-30.

4.
5.

A practical method for transforming free-text eligibility criteria into computable criteria.

Tu SW, Peleg M, Carini S, Bobak M, Ross J, Rubin D, Sim I.

J Biomed Inform. 2011 Apr;44(2):239-50. doi: 10.1016/j.jbi.2010.09.007.

6.

Using text to build semantic networks for pharmacogenomics.

Coulet A, Shah NH, Garten Y, Musen M, Altman RB.

J Biomed Inform. 2010 Dec;43(6):1009-19. doi: 10.1016/j.jbi.2010.08.005.

7.

Formal representation of eligibility criteria: a literature review.

Weng C, Tu SW, Sim I, Richesson R.

J Biomed Inform. 2010 Jun;43(3):451-67. doi: 10.1016/j.jbi.2009.12.004. Review.

8.

Electronic screening improves efficiency in clinical trial recruitment.

Thadani SR, Weng C, Bigger JT, Ennever JF, Wajngurt D.

J Am Med Inform Assoc. 2009 Nov-Dec;16(6):869-73. doi: 10.1197/jamia.M3119.

9.

ECRL: an eligibility criteria representation language based on the UMLS Semantic Network.

Patel CO, Weng C.

AMIA Annu Symp Proc. 2008 Nov 6:1084.

PMID:
18999200
10.

An electronic health record based on structured narrative.

Johnson SB, Bakken S, Dine D, Hyun S, Mendonça E, Morrison F, Bright T, Van Vleck T, Wrenn J, Stetson P.

J Am Med Inform Assoc. 2008 Jan-Feb;15(1):54-64.

11.

The SAGE Guideline Model: achievements and overview.

Tu SW, Campbell JR, Glasgow J, Nyman MA, McClure R, McClay J, Parker C, Hrabak KM, Berg D, Weida T, Mansfield JG, Musen MA, Abarbanel RM.

J Am Med Inform Assoc. 2007 Sep-Oct;14(5):589-98.

12.

RelEx--relation extraction using dependency parse trees.

Fundel K, Küffner R, Zimmer R.

Bioinformatics. 2007 Feb 1;23(3):365-71.

13.
14.

Methods for semi-automated indexing for high precision information retrieval.

Berrios DC, Cucina RJ, Fagan LM.

J Am Med Inform Assoc. 2002 Nov-Dec;9(6):637-52.

15.

Aggregating UMLS semantic types for reducing conceptual complexity.

McCray AT, Burgun A, Bodenreider O.

Stud Health Technol Inform. 2001;84(Pt 1):216-20.

16.

Empirical formulation of a generic query set for clinical information retrieval systems.

Cucina RJ, Shah MK, Berrios DC, Fagan LM.

Stud Health Technol Inform. 2001;84(Pt 1):181-5.

PMID:
11604729
17.

A semantic lexicon for medical language processing.

Johnson SB.

J Am Med Inform Assoc. 1999 May-Jun;6(3):205-18.

18.

Generic queries for meeting clinical information needs.

Cimino JJ, Aguirre A, Johnson SB, Peng P.

Bull Med Libr Assoc. 1993 Apr;81(2):195-206.

19.

The Canon Group's effort: working toward a merged model.

Friedman C, Huff SM, Hersh WR, Pattison-Gordon E, Cimino JJ.

J Am Med Inform Assoc. 1995 Jan-Feb;2(1):4-18.

20.
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