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  • Anne A, Bagayoko C, Fontelo P. Evaluation de BabelMeSH en Francais. IRBM 2009. DOI: 10.1016/j.irbm.2009.06.006.
  • Aronson AR, Lang FM. An overview of MetaMap: historical perspective and recent advances. J Am Med Inform Assoc. 2010 May-Jun;17(3):229-36. doi: 10.1136/jamia.2009.002733.
  • Balkanyi L, Schulz S, Cornet R, Bodenreider O. Medical concept representation: the years beyond 2000 [Poster]. Stud Health Technol Inform. 2013;192:1011.
  • Bangalore A, Browne AC, Divita G. UMLSKS SUGGEST: an auto-complete feature for the UMLSKS interface using AJAX. AMIA Annu Symp Proc. 2006:851.
  • Ben Abacha A, Demner-Fushman D. Meta-Learning with Selective Data Augmentation for Medical Entity Recognition. International Journal of Computational Linguistics and Applications (IJCLA) 7(2): 167-182 (2016)
  • Blake C, Rindflesch TC. Leveraging syntax to better capture the semantics of elliptical coordinated compound noun phrases. J Biomed Inform. 2017 Aug;72:120-131. doi: 10.1016/j.jbi.2017.07.001. Epub 2017 Jul 4.
  • Bodenreider O, Peters L, Nguyen T. RxClass – Navigating between Drug Classes and RxNorm Drugs (Demo). Prc. ICBO 2014
  • Cairelli M, Rindflesch TC. Identifying Potential Biomarkers for Mild Traumatic Brain Injury by Mining Semantic Relations from MEDLINE Citations [Poster[. 2011 Trauma Spectrum Conference, Bethesda, MD, December 9, 2011.
  • Cairelli MJ, Fiszman M, Zhang H, Rindflesch TC. Networks of neuroinjury semantic predications to identify biomarkers for mild traumatic brain injury. J Biomed Semantics. 2015 May 18;6:25. doi: 10.1186/s13326-015-0022-4. eCollection 2015.
  • Cameron D, Kavuluru R, Rindflesch TC, Sheth AP, Thirunarayan K, Bodenreider O. Context-driven automatic subgraph creation for literature-based discovery. J Biomed Inform. 2015 Apr;54:141-57. doi: 10.1016/j.jbi.2015.01.014. Epub 2015 Feb 7.
  • Cho D, Mork JG, Aronson A, Demner-Fushman D, Schmidt S, Ozga D, Pash J, Kilbourne J. MeSH on demand: an easy way to identify relevant MeSH terms and related articles from text [Poster]. National Cancer Institute (NCI) Symposium "RNA Biology 2015".
  • Cohen T, Widdows D, Stephan C, Zinner R, Kim J, Rindflesch TC, Davies P. Predicting high-throughput screening results with scalable literature-based discovery methods. CPT Pharmacometrics Syst Pharmacol. 2014 Oct 8;3:e140. doi: 10.1038/psp.2014.37.
  • Demner-Fushman D. A dataset of 200 structured product labels annotated for adverse drug reactions. Sci Data. 2018 Jan 30;5:180001. doi: 10.1038/sdata.2018.1.
  • Demner-Fushman D, Rogers W, Aronson A. MetaMap Lite: an evaluation of a new Java implementation of MetaMap. J Am Med Inform Assoc. 2017 Jul 1;24(4):841-844. doi: 10.1093/jamia/ocw177.
  • Demner-Fushman D, Mork JG, Shooshan SE, Aronson AR. UMLS content views appropriate for NLP processing of the biomedical literature vs. clinical text. J Biomed Inform. 2010 Aug;43(4):587-94. doi: 10.1016/j.jbi.2010.02.005. Epub 2010 Feb 10.
  • Fiszman M, Demner-Fushman D, Kilicoglu H, Rindflesch TC. Automatic summarization of MEDLINE citations for evidence-based medical treatment: a topic-oriented evaluation. J Biomed Inform. 2009 Oct;42(5):801-13. doi: 10.1016/j.jbi.2008.10.002. Epub 2008 Nov 5.
  • Friedlin FJ, McDonald C. A Software Tool for Removing Patient Identifying Information from Clinical Documents J Am Med Inform Assoc. 2008 Sep-Oct;15(5):601-10. Epub 2008 Jun 25
  • Friedman C, Rindflesch TC, Corn M. Natural language processing: state of the art and prospects for significant progress, a workshop sponsored by the National Library of Medicine. J Biomed Inform. 2013 Oct;46(5):765-73. doi: 10.1016/j.jbi.2013.06.004. Epub 2013 Jun 25.
  • Fung KW, Bodenreider O, Aronson AR, Hole WT, Srinivasan S. Combining Lexical and Semantic Methods of Inter-terminology Mapping Using the UMLS. Stud Health Technol Inform. 2007;129(Pt 1):605-9.
  • Golbreich C, Zhang S, Bodenreider O. The Foundational Model of Anatomy in OWL: Experience and Perspectives Web Semant. 2006;4(3):181-195
  • Hanauer DA, Saeed M, Zheng K, Mei Q, Shedden K, Aronson AR, Ramakrishnan N. Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis. J Am Med Inform Assoc. 2014 Sep-Oct;21(5):925-37. doi: 10.1136/amiajnl-2014-002767. Epub 2014 Jun 13.
  • Harpaz R, Odgers D, Gaskin G, DuMouchel W, Winnenburg R, Bodenreider O, Ripple AM, Szarfman A, Sorbello A, Horvitz E, White RW, Shah NH. A time-indexed reference standard of adverse drug reactions. Sci Data. 2014 Nov 11;1:140043. doi: 10.1038/sdata.2014.43.
  • Hristovski D, Kastrin A, Dinevski D, Burgun A, Ziberna L, Rindflesch TC. Using Literature-Based Discovery to Explain Adverse Drug Effects. J Med Syst. 2016 Aug;40(8):185. doi: 10.1007/s10916-016-0544-z. Epub 2016 Jun 18.
  • Hristovski D, Dinevski D, Kastrin A, Rindflesch TC. Biomedical question answering using semantic relations. BMC Bioinformatics. 2015 Jan 16;16:6. doi: 10.1186/s12859-014-0365-3.
  • Hristovski D, Rindflesch TC, Peterlin B. Using literature-based discovery to identify novel therapeutic approaches. Cardiovasc Hematol Agents Med Chem. 2013 Mar;11(1):14-24.
  • Hristovski D, Peterlin B, Mitchell JA, Humphrey SM. Using literature-based discovery to identify disease candidate genes. Int J Med Inform. March 2005;74(2-4):289-98.
  • Humphrey SM, Névéol A, Gobeil J, Ruch P, Darmoni SJ, Browne AC. Comparing a Rule Based vs. Statistical System for Automatic Categorization of MEDLINE Documents According to Biomedical Specialty. J Am Soc Inf Sci Technol. 2009 Dec 1;60(12):2530-2539.
  • Humphrey SM, Rogers W, Kilicoglu H, Demner-Fushman D, Rindflesch TC. Word sense disambiguation by selecting the best semantic type based on journal descriptor indexing: preliminary experiment. J Am Soc Inf Sci Technol. January 2006;57(1):96-113.
  • Jimeno Yepes A, Mork JG, Aronson A. Using the argumentative structure of scientific literature to improve information access [Poster]. BioNLP 2013.
  • Jimeno Yepes AJ, Plaza L, Carrillo-de-Albornoz J, Mork JG, Aronson A. Feature engineering for MEDLINE citation categorization with MeSH. BMC Bioinformatics. 2015 Apr 8;16:113. doi: 10.1186/s12859-015-0539-7.
  • Jimeno-Yepes A, Mork J, Demner-Fushman D, Aronson AR. A one-size-fits-all indexing method does not exist: automatic selection based on meta-learning. JCSE, vol. 6, no. 2, pp.151-160, 2012.
  • Jimeno-Yepes A, McInnes BT, Aronson AR. Collocation analysis for UMLS knowledge-based word sense disambiguation. BMC Bioinformatics. 2011 Jun 9;12 Suppl 3:S4. doi: 10.1186/1471-2105-12-S3-S4.
  • Jimeno-Yepes A, McInnes BT, Aronson AR. Exploiting MeSH indexing in MEDLINE to generate a data set for word sense disambiguation. BMC Bioinformatics. 2011 Jun 2;12:223. doi: 10.1186/1471-2105-12-223.
  • Jimeno-Yepes A, Aronson AR. Knowledge-based biomedical word sense disambiguation: comparison of approaches. BMC Bioinformatics. 2010 Nov 22;11:569. doi: 10.1186/1471-2105-11-569.
  • Jimeno-Yepes AJ, Plaza L, Mork JG, Aronson AR, Díaz A. MeSH indexing based on automatically generated summaries. BMC Bioinformatics. 2013 Jun 26;14:208. doi: 10.1186/1471-2105-14-208.
  • Jimeno-Yepes AJ, Sticco JC, Mork JG, Aronson AR. GeneRIF indexing: sentence selection based on machine learning. BMC Bioinformatics. 2013 May 31;14:171. doi: 10.1186/1471-2105-14-171.
  • Kang YS, Kayaalp M. Extracting laboratory test information from biomedical text. J Pathol Inform. 2013 Aug 31;4:23. doi: 10.4103/2153-3539.117450. eCollection 2013.
  • Kastrin A, Rindflesch TC, Hristovski D. Link prediction on a network of co-occurring MeSH terms: Towards literature-based discovery. Methods of Information in Medicine 55(4):340-6.
  • Kastrin A, Rindflesch TC, Hristovski D. Link prediction in a MeSH co-occurrence network: preliminary results. Stud Health Technol Inform. 2014;205:579-83.
  • Kayaalp M. Patient Privacy in the Era of Big Data. Balkan Med J. 2018 Jan 20;35(1):8-17. doi: 10.4274/balkanmedj.2017.0966. Epub 2017 Sep 13.
  • Kayaalp M, Dodd Z, Browne AC, Sagan, P, McDonald CJ. Software: NLM-Scrubber
  • Kayaalp M, Browne AC, Callaghan FM, Dodd Z, Divita G, Ozturk S, McDonald CJ. The pattern of name tokens in narrative clinical text and a comparison of five systems for redacting them. J Am Med Inform Assoc. 2014 May-Jun;21(3):423-31. doi: 10.1136/amiajnl-2013-001689. Epub 2013 Sep 11.
  • Kayaalp M. ICU Outcome Predictions using Physiologic Trends in the First Two Days. Computing in Cardiology (39)977–980.
  • Keselman A, Rosemblat G, Kilicoglu H, Fiszman M, Jin H, Shin D, Rindflesch TC. Adapting Semantic Natural Language Processing Technology to Address Information Overload in Influenza Epidemic Management Journal of the American Society for Information Science and Technology (JASIST), 61(12):2531-2543, 2010
  • Keselman A, Tse T, Crowell J, Browne AC, Ngo L, Zeng Q. Assessing Consumer Health Vocabulary Familiarity: An Exploratory Study J Med Internet Res. 2007 Mar 14;9(1):e5
  • Keselman A, Massengale L, Ngo L, Browne A, Zeng Q. The Effect of User Factors on Consumer Familiarity with Health Terms: Using Gender as a Proxy for Background Knowledge about Gender-Specific Illnesses ISBMDA 2006: 472-481
  • Khatipov E, Madden M, Chiang P, Chuang P, Nguyen D, D'Souza I, Winnenburg R, Bodenreider O, Skapik J, McClure R, Emrick S. Creating, maintaining and publishing value sets in the VSAC [Poster]. AMIA Annu Symp Proc, 2014: p. 1459.
  • Kilicoglu H, Rosemblat G, Malicki M, Ter Riet G. Automatic recognition of self-acknowledged limitations in clinical research literature. J Am Med Inform Assoc. 2018 Jul 1;25(7):855-861. doi: 10.1093/jamia/ocy038.
  • Kilicoglu H, Rosemblat G, Rindflesch TC. Assigning factuality values to semantic relations extracted from biomedical research literature. PLoS One. 2017 Jul 5;12(7):e0179926. doi: 10.1371/journal.pone.0179926. eCollection 2017.
  • Kilicoglu H. Biomedical text mining for research rigor and integrity: tasks, challenges, directions. Brief Bioinform. 2017 Jun 13. doi: 10.1093/bib/bbx057.

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