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  • Lin J, Demner-Fushman D. "Bag of words" is not enough for strength of evidence classification AMIA Annu Symp Proc. 2005:1031.
  • Chachra S, Ben Abacha A, Shooshan SE, Rodriguez L, Demner-Fushman D. A Hybrid Approach to Generation of Missing Abstracts in Biomedical Literature. Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers: 1093-1100.
  • Rance B, Doughty E, Demner-Fushman D, Kann MG, Bodenreider O. A mutation-centric approach to identifying pharmacogenomic relations in text. J Biomed Inform. 2012 Oct;45(5):835-41. doi: 10.1016/j.jbi.2012.05.003. Epub 2012 Jun 7.
  • Demner-Fushman D, Seckman C, Fisher C, Hauser SE, Clayton J, Thoma GR. A prototype system to support evidence-based practice AMIA Annu Symp Proc. 2008 Nov 6:151-5.
  • Cohen T, Roberts K, Gururaj AE, Chen X, Pournejati S, Alter G, Hersh WR, Demner-Fushman D, Ohno-Machado L, Lu H. A publicly available benchmark for biomedical dataset retrieval: the reference standard for the 2016 bioCADDIE dataset retrieval challenge. Database (Oxford). 2017 Jan 1;2017. doi: 10.1093/database/bax061.
  • Nelson SJ, Brown SH, Erlbaum MS, Olson N, Powell T, Carlsen B, Carter J, Tuttle MS, Hole WT. A semantic normal form for clinical drugs in the UMLS: early experiences with the VANDF. Proc AMIA Symp. 2002:557-61.
  • Zhang X, Zou J, Le DX, Thoma GR. A Semi-supervised Learning Method to Classify Grant Support Zone in Web-based Medical Articles Proc SPIE Electronic Imaging Science and Technology, Document Recognition and Retrieval. January 2009;7247:7247 OW(1-8)
  • Abhyankar S, Demner-Fushman D. A simple method to extract key maternal data from neonatal clinical notes. AMIA Annu Symp Proc. 2013 Nov 16;2013:2-9. eCollection 2013.
  • Zhang X, Zou J, Le DX, Thoma GR. A Stacked Sequential Learning Method For Investigator Name Recognition From Web-based Medical Articles 17th Document Recognition and Retrieval Conference (SPIE-DR&R). San Jose, CA. January 2010;7534:753404-7
  • Zolnoori M, Fung K, Patrick TB, Fontelo P, Kharrazi H, Faiola A, Wu YSS, Eldredge CE, Luo J, Conway M, Zhu J, Park SK, Xu K, Moayyed H, Goudarzvand S. A systematic approach for developing a corpus of patient reported adverse drug events: A case study for SSRI and SNRI medications. NCBINCBI Logo Skip to main content Skip to navigation Resources How To About NCBI Accesskeys PubMed US National Library of Medicine National Institutes of Health Search databaseSearch term 30611893[uid] Clear inputSearch Create RSSCreate alertAdvancedHelp Result Filters Format: AbstractSend to J Biomed Inform. 2019 Feb;90:103091. doi: 10.1016/j.jbi.2018.12.005. Epub 2019 Jan 4.
  • Goss FR, Lai KH, Topaz M, Acker WW, Kowalski L, Plasek JM, Blumenthal KG, Seger DL, Slight SP, Fung KW, Chang FY, Bates DW, Zhou L. A value set for documenting adverse reactions in electronic health records. J Am Med Inform Assoc. 2018 Jun 1;25(6):661-669. doi: 10.1093/jamia/ocx139.
  • Hole WT, Carlsen BA, Tuttle MS, Srinivasan S, Lipow SS, Olson NE, Sheretz DD, Humphreys BL. Achieving "source transparency" in the UMLS Metathesaurus. Stud Health Technol Inform. 2004;107(Pt 1):371-5.
  • Fung K, Xue Z, Ameye F, Gutierrez AR, D'Have A. Achieving Logical Equivalence between SNOMED CT and ICD-10-PCS Surgical Procedures. AMIA Annu Symp Proc. 2018 Apr 16;2017:724-733. eCollection 2017.
  • Fung KW, Xu J. An exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT. J Am Med Inform Assoc. 2015 May;22(3):649-58. doi: 10.1093/jamia/ocu022. Epub 2015 Feb 26.
  • Callaghan F, Jackson MT, Demner-Fushman D, Abhyankar S, McDonald C. Analysis of data that has been extracted from free-text using natural language processing: a likelihood model for misclassification with an application to medical informatics. International Conference on Advances in Interdisciplinary Statistics and Combinatorics (AISC2012), Greensboro, NC, October 2012
  • Bodenreider O, Rodriguez L. Analyzing U.S. prescription lists with RxNorm and the ATC/DDD Index. AMIA Annu Symp Proc. 2014 Nov 14;2014:297-306. eCollection 2014.
  • Demner-Fushman D, Lin J. Answering Clinical Questions with Knowledge-based and Statistical Techniques Computational Linguistics. 2007 Jan;33(1):63-103
  • Misra D, Mao S, Rees J, Thoma GR. Archiving a Historic Medico-legal Collection: Automation and Workflow Customization Proc IS&T Archiving 2007. Arlington, Virginia, May 2007; 157-61
  • Wang Y, Wei D, Xu J, Elhanan G, Perl Y, Halper M, Chen Y, Spackman KA, Hripcsak G. Auditing complex concepts in overlapping subsets of SNOMED. AMIA Annu Symp Proc. November 2008:273-7.
  • Wang Y, Halper M, Wei D, Gu H, Perl Y, Xu J, Elhanan G, Chen Y, Spackman KA, Case JT, Hripcsak G. Auditing complex concepts of SNOMED using a refined hierarchical abstraction network. J Biomed Inform. 2012 Feb;45(1):1-14. doi: 10.1016/j.jbi.2011.08.016. Epub 2011 Sep 1.
  • Kim I, Thoma GR. Automated Classification of Author’s Sentiments in Citation Using Machine Learning Techniques: A Preliminary Study. Proc. the 2015 IEEE Conf. Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2015), Niagara Falls, Canada, Aug. 12-15, 2015.
  • Kim I, Le DX, Thoma GR. Automated Cleanup Processing for Extracting Bibliographic Data from Biomedical Online Journals In: Callaos N, Lesso W, editors. SCI 2005. Proc. 9th World Multiconference on Systemics, Cybernetics and Informatics; 2005 Jul 10-13; Vol. 4; Orlando (FL): International Institute of Informatics and Systemics; c2005. 401-5
  • Kim I, Le DX, Thoma GR. Automated identification of biomedical article type using support vector machines. Proc. 18th SPIE Document Recognition and Retrieval, 7874:787403 (1-9), San Francisco, January 2011.
  • Kim I, Thoma GR. Automated Identification of Potential Conflict-of-Interest in Biomedical Articles Using Hybrid Deep Neural Network. Proc. 14th Int’l Conf. Machine Learning and Data Mining (MLDM 2018), LNAI 10934, pp. 99-112, Newark, NJ, July 2018.
  • Kim I, Thoma GR. Automated Identification of Potential Conflict-of-Interest in Biomedical Articles Using Hybrid Deep Neural Network. Proc. 14th Int’l Conf. Machine Learning and Data Mining (MLDM 2018), LNAI 10934, pp. 99-112, Newark, NJ, July 2018.
  • Kim J, Le DX, Thoma GR. Automated Labeling Of Biomedical Online Journal Articles In: Callaos N, Lesso W, editors. SCI 2005. Proc 9th World Multiconference on Systemics, Cybernetics and Informatics; 2005 Jul 10-13; Vol. 4; Orlando (FL): International Institute of Informatics and Systemics; c2005. 406-11
  • Thoma GR, Mao S, Misra D. Automated Metadata Extraction to Preserve the Digital Contents of Biomedical Collections Proc VIIP 2005. September 2005. Benidorm, Spain; 214-19
  • Kim I, Le DX, Thoma GR. Automated method for extracting "citation sentences" from online biomedical articles using SVM-based text summarization technique. Proc. the 2014 IEEE Int'l Conf. on Systems, Man, and Cybernetics (SMC 2014), pp. 2006-2011, San Diego, October, 2014
  • Hauser SE, Le DX, Thoma GR. Automated Zone Correction in Bitmapped Document Images SPIE: Document Recognition and Retrieval VII. 2000 Jan;3976: 248-58.
  • Kim J, Le DX, Thoma GR. Automatic Extraction of Bibliographic Information from Biomedical Online Journal Articles Using a String Matching Algorithm Proc IEEE CBMS, June 2006, Salt Lake City, Utah; 905-10
  • Mao S, Kanungo T. Automatic Training of Page Segmentation Algorithms: An Optimization Approach International Conference on Pattern Recognition. 2000 Sept.;:531-534.
  • Demner-Fushman D, Karpinski J, Thoma GR. Automatically building a repository to support evidence-based practice. Proceedings of the 2nd Workshop on Building and evaluating resources for biomedical text mining (BioTxtM 2010), 7th Language Resources and Evaluation Conference (LREC 2010). Valetta, Malta. May 2010.
  • Le DX, Thoma GR. Automatically Creating Biomedical Bibliographic Records from Printed Volumes of Old Indexes In: Callaos N, Lesso W, editors. SCI 2005. Proc 9th World Multiconference on Systemics, Cybernetics and Informatics; 2005 Jul 10-13; Vol. 3, Computer Science and Engineering. Orlando (FL): International Institute of Informatics and Systemics; c2005. 267-74
  • Demner-Fushman D, Few B, Hauser SE, Thoma GR. Automatically Identifying Health Outcome Information in MEDLINE Records J Am Med Inform Assoc. 2006 Jan-Feb;13(1):52-60. Epub 2005 Oct 12.
  • Kilicoglu H, Demner-Fushman D. Bio-SCoRes: A Smorgasbord Architecture for Coreference Resolution in Biomedical Text. PLoS One. 2016 Mar 2;11(3):e0148538. doi: 10.1371/journal.pone.0148538. eCollection 2016.
  • Pearson G, Moon CW. Bridging Two Biomedical Journal Databases with XML - A Case Study. Proc. 14th IEEE Symposium on Computer-Based Medical Systems: IEEE Computer Society. 2001 Jul;:309-14.
  • Campbell JR, Xu J, Fung K. Can SNOMED CT fulfill the vision of a compositional terminology? Analyzing the use case for problem list. AMIA Annu Symp Proc. 2011;2011:181-8. Epub 2011 Oct 22.
  • Kury F, Baik SH, McDonald CJ. Cardioprotective Drugs and Incident Dementias in Medicare's Big Data. AMIA 2017.
  • Zhang X, Zou J, Le DX, Thoma GR. Combining Discriminative SVM models for the Improved Recognition of Investigator Names in Medical Articles. Proceedings of SPIE Volume 8658, Document Recognition and Retrieval XX, IS&T/SPIE Electronic Imaging 2013.
  • Zou J, Le DX, Thoma GR. Combining DOM Tree and Geometric Layout Analysis for Online Medical Journal Article Segmentation Proc JCDL, June 2006, Chapel Hill, NC; 119-28
  • Kim J, Le DX, Thoma GR. Combining SVM Classifiers to Identify Investigator Name Zones in Biomedical Articles. IS&T/SPIE’s 22nd Annual Symposium on Electronic Imaging. San Francisco, CA, January 2012; 8297.
  • McDonald CJ, Vreeman DJ, Abhyankar S. Comment on "time to integrate clinical and research informatics" [Letter]. Sci Transl Med. 2013 Apr 3;5(179):179le1. doi: 10.1126/scitranslmed.3005700.
  • Geller J, Morrey CP, Xu J, Halper M, Elhanan G, Perl Y, Hripcsak G. Comparing inconsistent relationship configurations indicating UMLS errors. AMIA Annu Symp Proc. 2009 Nov 14;2009:193-7.
  • Fung K, Kayaalp M, Callaghan FM, McDonald CJ. Comparison of electronic pharmacy prescription records with manually collected medication histories in an emergency department. Ann Emerg Med. 2013 Sep;62(3):205-11. doi: 10.1016/j.annemergmed.2013.04.014. Epub 2013 May 18.
  • Wei D, Wang Y, Perl Y, Xu J, Halper M, Spackman KA. Complexity measures to track the evolution of a SNOMED hierarchy. AMIA Annu Symp Proc. 2008 Nov 6:778-82.
  • Demner-Fushman D, Seckman C, Fisher C, Thoma GR. Continual development of a personalized decision support system. Stud Health Technol Inform. 2013;192:175-9.
  • Fung KW, Richesson R, Bodenreider O. Coverage of rare disease names in standard terminologies and implications for patients, providers, and research. AMIA Annu Symp Proc. 2014 Nov 14;2014:564-72. eCollection 2014.
  • Fung K, Gutierrez A, Ameye F, D’Have A, Ariel B. Demonstrating the Benefits of Mapping SNOMED CT to ICD-10-PCS through a Prototype Application for End User Implementation. SNOMED Expo Oct 2017, Bratislava, Slovakia pp. 0
  • Thoma GR, Mao S, Misra D, Rees J. Design of a Digital Library for Early 20th Century Medico-legal Documents Proc ECDL 2006. Eds: Gonzalo J et al. Berlin: Springer-Verlag; LNCS 4172: 147-57
  • Mao S, Misra D, Seamans J, Thoma GR. Design Strategies for a Prototype Electronic Preservation System for Biomedical Documents IS&T Archiving 2005 Conference, April 2005; 48-53.

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