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Items: 13


Aligned-Layer Text Search in Clinical Notes.

Wu S, Wen A, Wang Y, Liu S, Liu H.

Stud Health Technol Inform. 2017;245:629-633.


Automated population of an i2b2 clinical data warehouse from an openEHR-based data repository.

Haarbrandt B, Tute E, Marschollek M.

J Biomed Inform. 2016 Oct;63:277-294. doi: 10.1016/j.jbi.2016.08.007. Epub 2016 Aug 6.


Beyond Cohort Selection: An Analytics-Enabled i2b2.

Gabetta M, Malovini A, Bucalo M, Zini E, Tibollo V, Priori SG, Vettoretti S, Larizza C, Bellazzi R, Barbarini N.

Stud Health Technol Inform. 2016;228:572-6.


Facilitating biomedical researchers' interrogation of electronic health record data: Ideas from outside of biomedical informatics.

Hruby GW, Matsoukas K, Cimino JJ, Weng C.

J Biomed Inform. 2016 Apr;60:376-84. doi: 10.1016/j.jbi.2016.03.004. Epub 2016 Mar 10. Review.


Development and validation of an electronic frailty index using routine primary care electronic health record data.

Clegg A, Bates C, Young J, Ryan R, Nichols L, Ann Teale E, Mohammed MA, Parry J, Marshall T.

Age Ageing. 2016 May;45(3):353-60. doi: 10.1093/ageing/afw039. Epub 2016 Mar 3. Erratum in: Age Ageing. 2017 Jan 17;:.


Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes.

Khalifa A, Meystre S.

J Biomed Inform. 2015 Dec;58 Suppl:S128-32. doi: 10.1016/j.jbi.2015.08.002. Epub 2015 Aug 28.


Combining glass box and black box evaluations in the identification of heart disease risk factors and their temporal relations from clinical records.

Grouin C, Moriceau V, Zweigenbaum P.

J Biomed Inform. 2015 Dec;58 Suppl:S133-42. doi: 10.1016/j.jbi.2015.06.014. Epub 2015 Jul 2.


METEOR: An Enterprise Health Informatics Environment to Support Evidence-Based Medicine.

Puppala M, He T, Chen S, Ogunti R, Yu X, Li F, Jackson R, Wong ST.

IEEE Trans Biomed Eng. 2015 Dec;62(12):2776-86. doi: 10.1109/TBME.2015.2450181. Epub 2015 Jun 26.


Use of the i2b2 research query tool to conduct a matched case-control clinical research study: advantages, disadvantages and methodological considerations.

Johnson EK, Broder-Fingert S, Tanpowpong P, Bickel J, Lightdale JR, Nelson CP.

BMC Med Res Methodol. 2014 Jan 30;14:16. doi: 10.1186/1471-2288-14-16.


Development of an open metadata schema for prospective clinical research (openPCR) in China.

Xu W, Guan Z, Sun J, Wang Z, Geng Y.

Methods Inf Med. 2014;53(1):39-46. doi: 10.3414/ME13-01-0008. Epub 2013 Dec 9.


An information extraction framework for cohort identification using electronic health records.

Liu H, Bielinski SJ, Sohn S, Murphy S, Wagholikar KB, Jonnalagadda SR, Ravikumar KE, Wu ST, Kullo IJ, Chute CG.

AMIA Jt Summits Transl Sci Proc. 2013 Mar 18;2013:149-53. eCollection 2013.


Empirical performance of the calibrated self-controlled cohort analysis within temporal pattern discovery: lessons for developing a risk identification and analysis system.

Norén GN, Bergvall T, Ryan PB, Juhlin K, Schuemie MJ, Madigan D.

Drug Saf. 2013 Oct;36 Suppl 1:S107-21. doi: 10.1007/s40264-013-0095-x.


A loosely coupled framework for terminology controlled distributed EHR search for patient cohort identification in clinical research.

Zhao L, Lim Choi Keung SN, Taweel A, Tyler E, Ogunsina I, Rossiter J, Delaney BC, Peterson KA, Hobbs FD, Arvanitis TN.

Stud Health Technol Inform. 2012;180:519-23.


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