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Items: 1 to 20 of 22


A systematic review of the processes used to link clinical trial registrations to their published results.

Bashir R, Bourgeois FT, Dunn AG.

Syst Rev. 2017 Jul 3;6(1):123. doi: 10.1186/s13643-017-0518-3.


Systematic review protocol assessing the processes for linking clinical trial registries and their published results.

Bashir R, Dunn AG.

BMJ Open. 2016 Oct 3;6(10):e013048. doi: 10.1136/bmjopen-2016-013048.


Characterizing treatment pathways at scale using the OHDSI network.

Hripcsak G, Ryan PB, Duke JD, Shah NH, Park RW, Huser V, Suchard MA, Schuemie MJ, DeFalco FJ, Perotte A, Banda JM, Reich CG, Schilling LM, Matheny ME, Meeker D, Pratt N, Madigan D.

Proc Natl Acad Sci U S A. 2016 Jul 5;113(27):7329-36. doi: 10.1073/pnas.1510502113. Epub 2016 Jun 6.


Trend and Network Analysis of Common Eligibility Features for Cancer Trials in

Weng C, Yaman A, Lin K, He Z.

Smart Health (2014). 2014 Jul;8549:130-141.


Acquisition, Analysis, and Sharing of Data in 2015 and Beyond: A Survey of the Landscape: A Conference Report From the American Heart Association Data Summit 2015.

Antman EM, Benjamin EJ, Harrington RA, Houser SR, Peterson ED, Bauman MA, Brown N, Bufalino V, Califf RM, Creager MA, Daugherty A, Demets DL, Dennis BP, Ebadollahi S, Jessup M, Lauer MS, Lo B, MacRae CA, McConnell MV, McCray AT, Mello MM, Mueller E, Newburger JW, Okun S, Packer M, Philippakis A, Ping P, Prasoon P, Roger VL, Singer S, Temple R, Turner MB, Vigilante K, Warner J, Wayte P; American Heart Association Data Sharing Summit Attendees.

J Am Heart Assoc. 2015 Nov 5;4(11). pii: e002810. doi: 10.1161/JAHA.115.002810.


The proposed rule for U.S. clinical trial registration and results submission.

Zarin DA, Tse T, Sheehan J.

N Engl J Med. 2015 Jan 8;372(2):174-80. doi: 10.1056/NEJMsr1414226. Epub 2014 Dec 24. No abstract available.


Feasibility of feature-based indexing, clustering, and search of clinical trials. A case study of breast cancer trials from

Boland MR, Miotto R, Gao J, Weng C.

Methods Inf Med. 2013;52(5):382-94. doi: 10.3414/ME12-01-0092. Epub 2013 May 13.


EliXR-TIME: A Temporal Knowledge Representation for Clinical Research Eligibility Criteria.

Boland MR, Tu SW, Carini S, Sim I, Weng C.

AMIA Jt Summits Transl Sci Proc. 2012;2012:71-80. Epub 2012 Mar 19.


The NIAID Division of AIDS enterprise information system: integrated decision support for global clinical research programs.

Kagan JM, Gupta N, Varghese S, Virkar H.

J Am Med Inform Assoc. 2011 Dec;18 Suppl 1:i161-5. doi: 10.1136/amiajnl-2011-000114. Epub 2011 Aug 4.


Dynamic categorization of clinical research eligibility criteria by hierarchical clustering.

Luo Z, Yetisgen-Yildiz M, Weng C.

J Biomed Inform. 2011 Dec;44(6):927-35. doi: 10.1016/j.jbi.2011.06.001. Epub 2011 Jun 12.


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.


MeSHing molecular sequences and clinical trials: a feasibility study.

Chen ES, Sarkar IN.

J Biomed Inform. 2010 Jun;43(3):442-50. doi: 10.1016/j.jbi.2009.10.003. Epub 2009 Oct 20.


Rising expectations: access to biomedical information.

Lindberg DA, Humphreys BL.

Yearb Med Inform. 2008:165-72.


Poor reporting of scientific leadership information in clinical trial registers.

Sekeres M, Gold JL, Chan AW, Lexchin J, Moher D, Van Laethem ML, Maskalyk J, Ferris L, Taback N, Rochon PA.

PLoS One. 2008 Feb 20;3(2):e1610. doi: 10.1371/journal.pone.0001610.


Can current electronic systems meet drug safety and effectiveness requirements?

Holbrook A, Grootendorst P, Willison D, Goldsmith C, Sebaldt R, Keshavjee K.

AMIA Annu Symp Proc. 2005:335-9.


From phenotype to genotype: issues in navigating the available information resources.

Mitchell JA, McCray AT, Bodenreider O.

Methods Inf Med. 2003;42(5):557-63.

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