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  • Rosemblat G, Fiszman, M, Shin D, Kilicoglu H. Towards a characterization of apparent contradictions in the biomedical literature using context analysis. Journal of Biomedical Informatics. 2019. In Press. https://doi.org/10.1016/j.jbi.2019.103275.
  • 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.
  • Zhang Y, Baik SH, Zuvekas SH. Simulating Variation in Families' Spending across Marketplace Plans. Health Serv Res. 2018 Feb 14. doi: 10.1111/1475-6773.12831. [Epub ahead of print]
  • Janakiram C, Chalmers NI, Fontelo P, Huser V, Lopez Mitnik GL, Iafolla TJ, Brow AR, Dye BA. Sex and race or ethnicity disparities in opioid prescriptions for dental diagnoses among patients receiving Medicaid. J Am Dent Assoc, 2018. 149(4): p. 246-255.
  • 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.
  • 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.
  • Baik SH, Kury F, McDonald CJ. Risk of Alzheimer's Disease Among Senior Medicare Beneficiaries Treated With Androgen Deprivation Therapy for Prostate Cancer. J Clin Oncol. 2017 Oct 20;35(30):3401-3409. doi: 10.1200/JCO.2017.72.6109. Epub 2017 Aug 25.
  • 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.
  • Mundkur ML, Callaghan FM, Abhyankar S, McDonald CJ. Use of Electronic Health Record Data to Evaluate the Impact of Race on 30-Day Mortality in Patients Admitted to the Intensive Care Unit. J Racial Ethn Health Disparities. 2017 Aug;4(4):539-548. doi: 10.1007/s40615-016-0256-6. Epub 2016 Jun 20.
  • 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.
  • Rindflesch TC, Blake CL, Fiszman M, Kilicoglu H, Rosemblat G, Schneider J, Zeiss CJ. Informatics Support for Basic Research in Biomedicine. ILAR J. 2017 Jul 1;58(1):80-89. doi: 10.1093/ilar/ilx004.
  • Zhang, K, Demner-Fushman D. Automated classification of eligibility criteria in clinical trials to facilitate patient-trial matching for specific patient populations. J Am Med Inform Assoc. 2017 Jul 1;24(4):781-787. doi: 10.1093/jamia/ocw176.
  • Kilicoglu H. Biomedical text mining for research rigor and integrity: tasks, challenges, directions. Brief Bioinform. 2017 Jun 13. doi: 10.1093/bib/bbx057.
  • Mork JG, Aronson A, Demner-Fushman D. 12 years on - Is the NLM medical text indexer still useful and relevant? J Biomed Semantics. 2017 Feb 23;8(1):8. doi: 10.1186/s13326-017-0113-5.
  • 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.
  • Lu C, Tormey D, McCreedy L, Browne AC. Enhanced LexSynonym Acquisition for Effective UMLS Concept Mapping. Stud Health Technol Inform. 2017;245:501-505.
  • 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.
  • Jarlenski M, Baik SH, Zhang Y. Trends in Use of Medications for Smoking Cessation in Medicare, 2007-2012. Am J Prev Med. 2016 Sep;51(3):301-8. doi: 10.1016/j.amepre.2016.02.018. Epub 2016 Mar 30.
  • 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.
  • Wei W, Marmor R, Singh S, Wang S, Demner-Fushman D, Kuo TT, Hsu CN, Ohno-Machado L. Finding Related Publications: Extending the Set of Terms Used to Assess Article Similarity. AMIA Jt Summits Transl Sci Proc. 2016 Jul 20;2016:225-34. eCollection 2016.
  • 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)
  • Kilicoglu H. Software: Bio-SCoRes
  • Kilicoglu H. Dataset: Sortal Anaphora Dataset
  • Kilicoglu H, Rosemblat G, Fiszman M, Rindflesch TC. Sortal anaphora resolution to enhance relation extraction from biomedical literature. BMC Bioinformatics. 2016 Apr 14;17:163. doi: 10.1186/s12859-016-1009-6.
  • Morid MA, Fiszman M, Raja K, Jonnalagadda SR, Del Fiol G. Classification of clinically useful sentences in clinical evidence resources. J Biomed Inform. 2016 Apr;60:14-22. doi: 10.1016/j.jbi.2016.01.003. Epub 2016 Jan 13.
  • Workman TE, Fiszman M, Cairelli MJ, Nahl D, Rindflesch TC. Spark, an application based on Serendipitous Knowledge Discovery. J Biomed Inform. 2016 Apr;60:23-37. doi: 10.1016/j.jbi.2015.12.014. Epub 2015 Dec 28.
  • Driessen J, Baik SH, Zhang Y. Explaining Improved Use of High-Risk Medications in Medicare Between 2007 and 2011. J Am Geriatr Soc. 2016 Mar;64(3):674-6. doi: 10.1111/jgs.14000.
  • Mundkur ML, McDonald CJ. Utilizing Medicare claims for the assessment of influenza vaccination coverage in the US elderly. J Gen Intern Med, 2016. 31: p. S463.
  • Roberts K, Shooshan SE, Rodriguez L, Abhyankar S, Kilicoglu H, Demner-Fushman D. The role of fine-grained annotations in supervised recognition of risk factors for heart disease from EHRs. J Biomed Inform. 2015 Dec;58 Suppl:S111-9. doi: 10.1016/j.jbi.2015.06.010. Epub 2015 Jun 26.
  • Drawz PE, Archdeacon P, McDonald CJ, Powe NR, Smith KA, Norton J, Williams DE, Patel UD, Narva A. CKD as a Model for Improving Chronic Disease Care through Electronic Health Records. Clin J Am Soc Nephrol. 2015 Aug 7;10(8):1488-99. doi: 10.2215/CJN.00940115. Epub 2015 Jun 25.
  • 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.
  • McDonald CJ, Kalisch ELM, Barratt JD, Caughey GE. An international comparison of spontaneous adverse event reports and potentially inappropriate medicine use associated with dabigatran. Pharmacoepidemiol Drug Saf. 2015 Apr;24(4):399-405. doi: 10.1002/pds.3648. Epub 2014 May 20.
  • 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.
  • 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.
  • Zhang R, Adam TJ, Simon G, Cairelli MJ, Rindflesch T, Pakhomov S, Melton GB. Mining Biomedical Literature to Explore Interactions between Cancer Drugs and Dietary Supplements. AMIA Jt Summits Transl Sci Proc. 2015 Mar 23;2015:69-73. eCollection 2015.
  • Zhang Y, Baik SH, Newhouse JP. Use of intelligent assignment to Medicare Part D plans for people with schizophrenia could produce substantial savings. Health Aff (Millwood). 2015 Mar;34(3):455-60. doi: 10.1377/hlthaff.2014.1227.
  • 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.
  • Kayaalp M, Dodd Z, Browne AC, Sagan, P, McDonald CJ. Software: NLM-Scrubber
  • Mishra R, Bian J, Fiszman M, Weir CR, Mostafa J, Fiol GD. Text summarization in the biomedical domain: a systematic review of recent research. J Biomed Inform. 2014 Dec;52:457-67. doi: 10.1016/j.jbi.2014.06.009. Epub 2014 Jul 10.
  • Shang N, Xu H, Rindflesch TC, Cohen T. Identifying plausible adverse drug reactions using knowledge extracted from the literature. J Biomed Inform. 2014 Dec;52:293-310. doi: 10.1016/j.jbi.2014.07.011. Epub 2014 Jul 19.
  • 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.
  • Zhang R, Cairelli MJ, Fiszman M, Kilicoglu H, Rindflesch TC, Pakhomov SV, Melton GB. Exploiting Literature-derived Knowledge and Semantics to Identify Potential Prostate Cancer Drugs. Cancer Inform. 2014 Oct 14;13(Suppl 1):103-11. doi: 10.4137/CIN.S13889. eCollection 2014.
  • 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.
  • Abhyankar S, Demner-Fushman D, Callaghan FM, McDonald CJ. Combining structured and unstructured data to identify a cohort of ICU patients who received dialysis. J Am Med Inform Assoc. 2014 Sep-Oct;21(5):801-7. doi: 10.1136/amiajnl-2013-001915. Epub 2014 Jan 2.
  • 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.
  • Zhang R, Cairelli MJ, Fiszman M, Rosemblat G, Kilicoglu H, Rindflesch TC, Pakhomov SV, Melton GB. Using semantic predications to uncover drug-drug interactions in clinical data. J Biomed Inform. 2014 Jun;49:134-47. doi: 10.1016/j.jbi.2014.01.004. Epub 2014 Jan 19.
  • 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.
  • Callaghan FM, Leishear K, Abhyankar S, Demner-Fushman D, McDonald CJ. High vitamin B12 levels are not associated with increased mortality risk for ICU patients after adjusting for liver function: a cohort study. ESPEN J. 2014 Apr 1;9(2):e76-e83.
  • Kastrin A, Rindflesch TC, Hristovski D. Link prediction in a MeSH co-occurrence network: preliminary results. Stud Health Technol Inform. 2014;205:579-83.
  • Rosemblat G, Shin D, Kilicoglu H, Sneiderman C, Rindflesch TC. A methodology for extending domain coverage in SemRep. J Biomed Inform. 2013 Dec;46(6):1099-107. doi: 10.1016/j.jbi.2013.08.005. Epub 2013 Aug 21.
  • 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.
  • 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.
  • 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.
  • Workman TE, Fiszman M, Rindflesch TC, Nahl D. Framing Serendipitous Information Seeking Behavior for Facilitating Literature-Based Discovery: A Proposed Model. Journal of the American Society for Information Science and Technology 2013, in press.
  • Yepes AJ, Prieur-Gaston E, Névéol A. Combining MEDLINE and publisher data to create parallel corpora for the automatic translation of biomedical text. BMC Bioinformatics. 2013 Apr 30;14:146. doi: 10.1186/1471-2105-14-146.
  • 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.
  • Maver A, Hristovski D, Rindflesch TC, Peterlin B. Integration of data from omic studies with the literature-based discovery towards identification of novel treatments for neovascularization in diabetic retinopathy. Biomed Res Int. 2013;2013:848952. doi: 10.1155/2013/848952. Epub 2013 Nov 24.
  • Zhang M, Del Fiol G, Grout RW, Jonnalagadda S, Medlin R, Mishra R, Weir C, Liu H, Mostafa J, Fiszman M. Automatic identification of comparative effectiveness research from medline citations to support clinicians' treatment information needs. Stud Health Technol Inform. 2013;192:846-50.
  • Zhang, H, Fiszman M, Shin D, Wilkowski B, Rindflesch TC. Clustering cliques for graph-based summarization of the biomedical research literature. BMC Bioinformatics 14:182.
  • Abhyankar S, Leishear K, Callaghan FM, Demner-Fushman D, McDonald CJ. Lower short- and long-term mortality associated with overweight and obesity in a large cohort study of adult intensive care unit patients. Crit Care. 2012 Dec 18;16(6):R235. doi: 10.1186/cc11903.
  • Kilicoglu H, Shin D, Fiszman M, Rosemblat G, Rindflesch TC. SemMedDB: a PubMed-scale repository of biomedical semantic predications. Bioinformatics. 2012 Dec 1;28(23):3158-60. doi: 10.1093/bioinformatics/bts591. Epub 2012 Oct 8.
  • Lu C, McCreedy L, Tormey D, Browne AC. A Systematic Approach for Automatically Generating Derivational Variants in Lexical Tools Based on theSPECIALIST Lexicon IEEE IT Professional Magazine, May/June, 2012;36-42.
  • 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.
  • Workman TE, Fiszman M, Hurdle JF. Text summarization as a decision support aid. BMC Med Inform Decis Mak. 2012 May 23;12:41. doi: 10.1186/1472-6947-12-41.
  • Lu C, Tormey D, McCreedy L, Browne AC. A Systematic Approach for Automatically Generating Derivational Variants in Lexical Tools Based on the SPECIALIST Lexicon. IEEE IT Professional Magazine, May/June, 2012, p. 36-42.
  • Miller CM, Rindflesch TC, Fiszman M, Hristovski D, Shin D, Rosemblat G, Zhang H, Strohl KP. A closed literature-based discovery technique finds a mechanistic link between hypogonadism and diminished sleep quality in aging men. Sleep. 2012 Feb 1;35(2):279-85. doi: 10.5665/sleep.1640.
  • Kayaalp M. ICU Outcome Predictions using Physiologic Trends in the First Two Days. Computing in Cardiology (39)977–980.
  • Kilicoglu H, Rosemblat G, Fiszman M, Rindflesch TC. Constructing a semantic predication gold standard from the biomedical literature. BMC Bioinformatics. 2011 Dec 20;12:486. doi: 10.1186/1471-2105-12-486.
  • Zhang H, Fiszman M, Shin D, Miller CM, Rosemblat G, Rindflesch TC. Degree centrality for semantic abstraction summarization of therapeutic studies. J Biomed Inform. 2011 Oct;44(5):830-8. doi: 10.1016/j.jbi.2011.05.001. Epub 2011 May 8.
  • Rindflesch TC, Kilicoglu H, Fiszman M, Rosemblat G, Shin D. Semantic MEDLINE: An advanced information management application for biomedicine. Information Services and Use, 2011, 31(1): 15-21.
  • Plaza L, Jimeno-Yepes A, Diaz A, Aronson AR. Studying the correlation between different word sense disambiguation methods and summarization effectiveness in biomedical texts. BMC Bioinformatics. 2011 Aug 26;12:355. doi: 10.1186/1471-2105-12-355.
  • 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.
  • Zhang X, Zou J, Le DX, Thoma GR. A structural SVM approach for reference parsing. BMC Bioinformatics. 2011 Jun 9;12 Suppl 3:S7. doi: 10.1186/1471-2105-12-S3-S7.
  • 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.
  • Pathak J, Peters L, Chute CG, Bodenreider O. Comparing and evaluating terminology services application programming interfaces: RxNav, UMLSKS and LexBIG. J Am Med Inform Assoc. 2010 Nov-Dec;17(6):714-9. doi: 10.1136/jamia.2009.001149.
  • Workman TE, Fiszman M, Hurdle JF, Rindflesch TC. Biomedical text summarization to support genetic database curation: using Semantic MEDLINE to create a secondary database of genetic information. J Med Libr Assoc. 2010 Oct;98(4):273-81. doi: 10.3163/1536-5050.98.4.003.
  • Mork JG, Bodenreider O, Demner-Fushman D, Dogan RI, Lang FM, Lu Z, Névéol A, Peters L, Shooshan SE, Aronson AR. Extracting Rx information from clinical narrative. J Am Med Inform Assoc. 2010 Sep-Oct;17(5):536-9. doi: 10.1136/jamia.2010.003970.
  • 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.
  • 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.
  • 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
  • Zeng-Treitler Q, Kim H, Rosemblat G, Kesselman A. Can multilingual machine translation help make medical record content more comprehensible to patients? Stud Health Technol Inform. 2010;160(Pt 1):73-7.
  • 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.
  • 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.
  • Névéol A, Shooshan SE, Humphrey SM, Mork JG, Aronson AR. A recent advance in the automatic indexing of the biomedical literature. J Biomed Inform. 2009 Oct;42(5):814-23. doi: 10.1016/j.jbi.2008.12.007. Epub 2008 Dec 30.
  • Anne A, Bagayoko C, Fontelo P. Evaluation de BabelMeSH en Francais. IRBM 2009. DOI: 10.1016/j.irbm.2009.06.006.
  • Kilicoglu H, Demner-Fushman D, Rindflesch TC, Wilczynski NL, Haynes RB. Towards Automatic Recognition of Scientifically Rigorous Clinical Research Evidence J Am Med Inform Assoc. 2009 Jan-Feb;16(1):25-31. Epub 2008 Oct 24.
  • Leroy G, Miller T, Rosemblat G, Browne A. A Balanced Approach to Health Information Evaluation: A Vocabulary-based Naive Bayes Classifier and Readability Formulas JASIST, 59(9):1409-1419, 2008
  • Neveol A, Shooshan SE, Claveau V. Automatic Inference of Indexing Rules for MEDLINE BMC Bioinformatics. 2008 Nov 19;9 Suppl 11:S11
  • 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
  • Sahoo SS, Bodenreider O, Rutter JL, Skinner KJ, Sheth AP. An Ontology-driven Semantic Mash-up of Gene and Biological pathway information: Application to the domain of nicotine dependence J Biomed Inform. 2008 Oct;41(5):752-65. Epub 2008 Feb 29
  • Neveol A, Deserno TM, Darmoni SJ, Guld MO, Aronson AR. Natural Language Processing Versus Content-BasedImage Analysis for Medical Document Retrieval J Am Soc Inf Sci Technol. 2008 Sep 18;60(1):123-134
  • Tharakaraman K, Bodenreider O, Landsman D, Spouge JL, Marino-Ramirez. The Biological Function of Some Human Transcription Factor Binding Motifs Varies with Position Relative to the Transcription Start Site Nucleic Acids Res. 2008 May;36(8):2777-86. Epub 2008 Mar 26
  • 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.
  • Sahoo SS, Zeng K, Bodenreider O, Sheth A. From 'Glycosyltransferase' to 'Congenital Muscular Dystrophy': Integrating Knowledge from NCBI Entrez Gene and the Gene Ontology Stud Health Technol Inform. 2007;129(Pt 2):1260-4
  • Fontelo P. Web Interface: BabelMeSH.
  • Fontelo P. Web Interface: Pico (Patient, Intervention, Comparison, and Outcome) Linguist.
  • Sneiderman CA, Demner-Fushman D, Fiszman M, Ide NC, Rindflesch TC. Knowledge-Based Methods to Help Clinicians Find Answers in MEDLINE. J Am Med Inform Assoc. 2007 Nov-Dec;14(6):772-80. Epub 2007 Aug 21.
  • Ruch P, Geissbuhler A, Gobeill J, Lisacek F, Tbahriti I, Veuthey A, Aronson AR. Using Discourse Analysis to Improve Text Categorization in MEDLINE Stud Health Technol Inform. 2007;129(Pt 1):710-5
  • Logan RA. Clinical, Classroom or Personal Education: Attitudes About Health Literacy J Med Libr Assoc. 2007 Apr;95(2):127-37, e48
  • 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
  • Tolentino HD, Matters MD, Walop W, Law B, Tong W, Liu F, Fontelo P, Kohl K, Payne DC. A UMLS-based Spell Checker for Natural Language Processing in Vaccine Safety. BMC Med Inform Decis Mak. 2007 Feb 12;7:3. DOI: 10.1186/1472-6947-7-3.
  • 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
  • Golbreich C, Zhang S, Bodenreider O. The Foundational Model of Anatomy in OWL: Experience and Perspectives Web Semant. 2006;4(3):181-195
  • Slaughter LA, Soergel D, Rindflesch TC. Semantic Representation of Consumer Questions and Physician Answers Int J Med Inform. 2006 Jul;75(7):513-29. Epub 2005 Aug 24
  • Rosemblat G, Logan R, Tse T, Graham L. Text Features and Readability: Expert Evaluation of Consumer Health Text Mednet 2006. October 14-16, 2006. Toronto, Canada
  • Aronson AR. API: Semantic Knowledge Representation
  • Zhang S, Bodenreider O. Law and Order: Assessing and Enforcing Compliance with Ontological Modeling Principles in the Foundational Model of Anatomy Comput Biol Med. 2006 Jul-Aug;36(7-8):674-93. Epub 2005 Sep 6.
  • Masseroli M, Kilicoglu H, Lang F-M, Rindflesch TC. Argument-predicate Distance as a Filter for Enhancing Precision in Extracting Predications on the Genetic Etiology of Disease. BMC Bioinformatics. 2006 Jun 8;7:291.
  • 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.
  • Rindflesch TC, Fiszman M, Bisharah L. Semantic Interpretation for the Biomedical Research Literature In Hsinchun C, Fuller S, Friedman C, Hersh w (eds.) Medical Informatics: Knowledge Management and Data Mining in Biomedicine. Springer: New York, pp. 399-422, 2005.
  • Smith L, Rindflesch TC, Wilbure WJ. MedTag: A Collection of Biomedical Annotations Bioinformatics. 2004 Sep 22;20(14):2320-1.
  • Leroy G, Rindflesch TC. Effects of Information and Machine Learning Algorithms on Word Sense Disambiguation with Small Datasets Int J Med Inform. 2005 Aug;74(7-8):573-85
  • 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.
  • Smith L, Rindflesch TC, Wilbure WJ. MedPost: A Part of Speech Tagger for BioMedical Text Bioinformatics. 2004 Sep 22;20(14):2320-1. Epub 2004 Apr 8
  • Logan RA, Park J, Shin JH. How Two Korean Newspapers Covered a Public Health Crisis Science Communication. 25:4:365-389 (June 2004)
  • Rindflesch TC, Tanabe L, Weinstein JN, Hunter L. EDGAR: extraction of drugs, genes and relations from the biomedical literature. Pac Symp Biocomput. 2000:517-28.
  • Weeber M, Vos R. Extracting the Lowest-Frequency Words: Pitfalls and Possibilities Computational Linguistics. 2000;26(3):301-17.