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Items: 1 to 50 of 65

1.

Advancing the state of the art in automatic extraction of adverse drug events from narratives.

Uzuner Ö, Stubbs A, Lenert L.

J Am Med Inform Assoc. 2020 Jan 1;27(1):1-2. doi: 10.1093/jamia/ocz206. No abstract available.

PMID:
31841150
2.

Editorial: The second international workshop on health natural language processing (HealthNLP 2019).

Wang Y, Xu H, Uzuner O.

BMC Med Inform Decis Mak. 2019 Dec 5;19(Suppl 5):233. doi: 10.1186/s12911-019-0930-9. No abstract available.

3.

Emerging clinical applications of text analytics.

Spasić I, Uzuner Ö, Zhou L.

Int J Med Inform. 2020 Feb;134:103974. doi: 10.1016/j.ijmedinf.2019.103974. Epub 2019 Sep 20. No abstract available.

PMID:
31630961
4.

New approaches to cohort selection.

Stubbs A, Uzuner Ö.

J Am Med Inform Assoc. 2019 Nov 1;26(11):1161-1162. doi: 10.1093/jamia/ocz174. No abstract available.

PMID:
31613362
5.

2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records.

Henry S, Buchan K, Filannino M, Stubbs A, Uzuner O.

J Am Med Inform Assoc. 2020 Jan 1;27(1):3-12. doi: 10.1093/jamia/ocz166.

PMID:
31584655
6.

Cohort selection for clinical trials: n2c2 2018 shared task track 1.

Stubbs A, Filannino M, Soysal E, Henry S, Uzuner Ö.

J Am Med Inform Assoc. 2019 Nov 1;26(11):1163-1171. doi: 10.1093/jamia/ocz163.

PMID:
31562516
7.

An Exploratory Study on Pseudo-Data Generation in Prescription and Adverse Drug Reaction Extraction.

Tao C, Lee K, Filannino M, Uzuner Ö.

Stud Health Technol Inform. 2019 Aug 21;264:388-392. doi: 10.3233/SHTI190249.

PMID:
31437951
8.

An Empirical Test of GRUs and Deep Contextualized Word Representations on De-Identification.

Lee K, Filannino M, Uzuner Ö.

Stud Health Technol Inform. 2019 Aug 21;264:218-222. doi: 10.3233/SHTI190215.

PMID:
31437917
9.

FABLE: A Semi-Supervised Prescription Information Extraction System.

Tao C, Filannino M, Uzuner Ö.

AMIA Annu Symp Proc. 2018 Dec 5;2018:1534-1543. eCollection 2018.

10.

Corrigendum to "Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2" [J Biomed Inform. 2017 Nov;75S:S62-S70].

Filannino M, Stubbs A, Uzuner Ö.

J Biomed Inform. 2018 Sep;85:204. doi: 10.1016/j.jbi.2018.08.015. No abstract available.

11.

Advancing the State of the Art in Clinical Natural Language Processing through Shared Tasks.

Filannino M, Uzuner Ö.

Yearb Med Inform. 2018 Aug;27(1):184-192. doi: 10.1055/s-0038-1667079. Epub 2018 Aug 29. Review.

12.

A natural language processing challenge for clinical records: Research Domains Criteria (RDoC) for psychiatry.

Uzuner Ö, Stubbs A, Filannino M.

J Biomed Inform. 2017 Nov;75S:S1-S3. doi: 10.1016/j.jbi.2017.10.005. Epub 2017 Oct 16. No abstract available.

13.

Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes.

Luo Y, Cheng Y, Uzuner Ö, Szolovits P, Starren J.

J Am Med Inform Assoc. 2018 Jan 1;25(1):93-98. doi: 10.1093/jamia/ocx090.

14.

Prescription extraction using CRFs and word embeddings.

Tao C, Filannino M, Uzuner Ö.

J Biomed Inform. 2017 Aug;72:60-66. doi: 10.1016/j.jbi.2017.07.002. Epub 2017 Jul 4.

15.

Automatic prediction of coronary artery disease from clinical narratives.

Buchan K, Filannino M, Uzuner Ö.

J Biomed Inform. 2017 Aug;72:23-32. doi: 10.1016/j.jbi.2017.06.019. Epub 2017 Jun 27.

16.

De-identification of psychiatric intake records: Overview of 2016 CEGS N-GRID shared tasks Track 1.

Stubbs A, Filannino M, Uzuner Ö.

J Biomed Inform. 2017 Nov;75S:S4-S18. doi: 10.1016/j.jbi.2017.06.011. Epub 2017 Jun 11. Review.

17.

Bridging semantics and syntax with graph algorithms-state-of-the-art of extracting biomedical relations.

Luo Y, Uzuner Ö, Szolovits P.

Brief Bioinform. 2017 Jul 1;18(4):722. doi: 10.1093/bib/bbx048. No abstract available.

18.

Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2.

Filannino M, Stubbs A, Uzuner Ö.

J Biomed Inform. 2017 Nov;75S:S62-S70. doi: 10.1016/j.jbi.2017.04.017. Epub 2017 Apr 25. Review. Erratum in: J Biomed Inform. 2018 Sep;85:204.

19.

De-identification of patient notes with recurrent neural networks.

Dernoncourt F, Lee JY, Uzuner O, Szolovits P.

J Am Med Inform Assoc. 2017 May 1;24(3):596-606. doi: 10.1093/jamia/ocw156.

PMID:
28040687
20.

Bridging semantics and syntax with graph algorithms-state-of-the-art of extracting biomedical relations.

Luo Y, Uzuner Ö, Szolovits P.

Brief Bioinform. 2017 Jan;18(1):160-178. doi: 10.1093/bib/bbw001. Epub 2016 Feb 5. Erratum in: Brief Bioinform. 2017 Jul 1;18(4):722.

21.

Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks.

Uzuner Ö, Stubbs A.

J Biomed Inform. 2015 Dec;58 Suppl:S1-5. doi: 10.1016/j.jbi.2015.10.007. Epub 2015 Oct 24. No abstract available.

22.

Creation of a new longitudinal corpus of clinical narratives.

Kumar V, Stubbs A, Shaw S, Uzuner Ö.

J Biomed Inform. 2015 Dec;58 Suppl:S6-S10. doi: 10.1016/j.jbi.2015.09.018. Epub 2015 Oct 1.

23.

Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/UTHealth corpus.

Stubbs A, Uzuner Ö.

J Biomed Inform. 2015 Dec;58 Suppl:S20-9. doi: 10.1016/j.jbi.2015.07.020. Epub 2015 Aug 28.

24.

A systematic comparison of feature space effects on disease classifier performance for phenotype identification of five diseases.

Kotfila C, Uzuner Ö.

J Biomed Inform. 2015 Dec;58 Suppl:S92-S102. doi: 10.1016/j.jbi.2015.07.016. Epub 2015 Aug 1.

25.

Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1.

Stubbs A, Kotfila C, Uzuner Ö.

J Biomed Inform. 2015 Dec;58 Suppl:S11-9. doi: 10.1016/j.jbi.2015.06.007. Epub 2015 Jul 28. Review.

26.

Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2.

Stubbs A, Kotfila C, Xu H, Uzuner Ö.

J Biomed Inform. 2015 Dec;58 Suppl:S67-77. doi: 10.1016/j.jbi.2015.07.001. Epub 2015 Jul 22. Review.

27.

Ease of adoption of clinical natural language processing software: An evaluation of five systems.

Zheng K, Vydiswaran VG, Liu Y, Wang Y, Stubbs A, Uzuner Ö, Gururaj AE, Bayer S, Aberdeen J, Rumshisky A, Pakhomov S, Liu H, Xu H.

J Biomed Inform. 2015 Dec;58 Suppl:S189-96. doi: 10.1016/j.jbi.2015.07.008. Epub 2015 Jul 22.

28.

Annotating risk factors for heart disease in clinical narratives for diabetic patients.

Stubbs A, Uzuner Ö.

J Biomed Inform. 2015 Dec;58 Suppl:S78-91. doi: 10.1016/j.jbi.2015.05.009. Epub 2015 May 21.

29.

Normalization of relative and incomplete temporal expressions in clinical narratives.

Sun W, Rumshisky A, Uzuner O.

J Am Med Inform Assoc. 2015 Sep;22(5):1001-8. doi: 10.1093/jamia/ocu004. Epub 2015 Apr 12.

30.

Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text.

Luo Y, Xin Y, Hochberg E, Joshi R, Uzuner O, Szolovits P.

J Am Med Inform Assoc. 2015 Sep;22(5):1009-19. doi: 10.1093/jamia/ocv016. Epub 2015 Apr 9.

31.

Word sense disambiguation in the clinical domain: a comparison of knowledge-rich and knowledge-poor unsupervised methods.

Chasin R, Rumshisky A, Uzuner O, Szolovits P.

J Am Med Inform Assoc. 2014 Sep-Oct;21(5):842-9. doi: 10.1136/amiajnl-2013-002133. Epub 2014 Jan 17.

32.

Semi-Supervised Learning to Identify UMLS Semantic Relations.

Luo Y, Uzuner O.

AMIA Jt Summits Transl Sci Proc. 2014 Apr 7;2014:67-75. eCollection 2014.

33.

Chronology of your health events: approaches to extracting temporal relations from medical narratives.

Uzuner Ö, Stubbs A, Sun W.

J Biomed Inform. 2013 Dec;46 Suppl:S1-4. doi: 10.1016/j.jbi.2013.11.005. No abstract available.

34.

Annotating temporal information in clinical narratives.

Sun W, Rumshisky A, Uzuner O.

J Biomed Inform. 2013 Dec;46 Suppl:S5-12. doi: 10.1016/j.jbi.2013.07.004. Epub 2013 Jul 19.

35.

Temporal reasoning over clinical text: the state of the art.

Sun W, Rumshisky A, Uzuner O.

J Am Med Inform Assoc. 2013 Sep-Oct;20(5):814-9. doi: 10.1136/amiajnl-2013-001760. Epub 2013 May 15. Review.

36.

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.

37.

Initial experience of 3 tesla apparent diffusion coefficient values in differentiating benign and malignant thyroid nodules.

Ilica AT, Artaş H, Ayan A, Günal A, Emer O, Kilbas Z, Meric C, Atasoy MM, Uzuner O.

J Magn Reson Imaging. 2013 May;37(5):1077-82. doi: 10.1002/jmri.23913. Epub 2012 Nov 12.

PMID:
23148044
38.

Sentiment Analysis of Suicide Notes: A Shared Task.

Pestian JP, Matykiewicz P, Linn-Gust M, South B, Uzuner O, Wiebe J, Cohen KB, Hurdle J, Brew C.

Biomed Inform Insights. 2012 Jan 30;5(Suppl 1):3-16.

39.

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.

40.

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.

41.

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.

42.

A cascade of classifiers for extracting medication information from discharge summaries.

Halgrim SR, Xia F, Solti I, Cadag E, Uzuner O.

J Biomed Semantics. 2011;2 Suppl 3:S2. doi: 10.1186/2041-1480-2-S3-S2. Epub 2011 Jul 14.

43.

Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions.

Chapman WW, Nadkarni PM, Hirschman L, D'Avolio LW, Savova GK, Uzuner O.

J Am Med Inform Assoc. 2011 Sep-Oct;18(5):540-3. doi: 10.1136/amiajnl-2011-000465. No abstract available.

44.

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.

45.

Community annotation experiment for ground truth generation for the i2b2 medication challenge.

Uzuner O, Solti I, Xia F, Cadag E.

J Am Med Inform Assoc. 2010 Sep-Oct;17(5):519-23. doi: 10.1136/jamia.2010.004200.

46.

Extracting medication information from clinical text.

Uzuner O, Solti I, Cadag E.

J Am Med Inform Assoc. 2010 Sep-Oct;17(5):514-8. doi: 10.1136/jamia.2010.003947.

47.

Semantic relations for problem-oriented medical records.

Uzuner O, Mailoa J, Ryan R, Sibanda T.

Artif Intell Med. 2010 Oct;50(2):63-73. doi: 10.1016/j.artmed.2010.05.006. Epub 2010 Jun 19.

48.

Imaging serotonergic transmission with [11C]DASB-PET in depressed and non-depressed patients infected with HIV.

Hammoud DA, Endres CJ, Hammond E, Uzuner O, Brown A, Nath A, Kaplin AI, Pomper MG.

Neuroimage. 2010 Feb 1;49(3):2588-95. doi: 10.1016/j.neuroimage.2009.10.037. Epub 2009 Oct 21.

49.

Initial evaluation of 11C-DPA-713, a novel TSPO PET ligand, in humans.

Endres CJ, Pomper MG, James M, Uzuner O, Hammoud DA, Watkins CC, Reynolds A, Hilton J, Dannals RF, Kassiou M.

J Nucl Med. 2009 Aug;50(8):1276-82. doi: 10.2967/jnumed.109.062265. Epub 2009 Jul 17.

50.

Recognizing obesity and comorbidities in sparse data.

Uzuner O.

J Am Med Inform Assoc. 2009 Jul-Aug;16(4):561-70. doi: 10.1197/jamia.M3115. Epub 2009 Apr 23.

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