You are here

  • Mrabet Y, Kilicoglu H, Demner-Fushman D. TextFlow: A Text Similarity Measure based on Continuous Sequences. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017, Vancouver, Canada, July 30 - August 4, Volume
  • Kim I, Thoma GR. Machine Learning with Selective Word Statistics for Automated Classification of Citation Subjectivity in Online Biomedical Articles. Proc. Int’l Conf. Artificial Intelligence (ICAI’17), pp. 201-207, Las Vegas, July 2017.
  • Kim J, Hong S, Thoma GR. Labeling Author Affiliations in Biomedical Articles Using Markov Model Classifiers. The 13th International Conference on Data Mining (DMIN2017), pp. 105-110, Las Vegas, USA, July 2017.
  • Gardner C, Liu F, Fontelo P, Flanagan MC, Hoang A, Burke HB. Assessing the usability by clinicians of VISION: A hierarchical display of patient-collected physiological information to clinicians. BMC Med Inform Decis Mak. 2017 Apr 14;17(1):41. doi: 10.1186/s12911-017-0435-3.
  • Borovikov E, Vajda S, Gill MJ. Face Match for Family Reunification: Real-World Face Image Retrieval International Journal of Computer Vision and Image Processing. DOI: 10.4018/IJCVIP.2017040102.
  • Mayer JE, Fontelo P. Meta-analysis on the effect of text message reminders for HIV-related compliance. AIDS Care. 2017 Apr;29(4):409-417. doi: 10.1080/09540121.2016.1214674. Epub 2016 Aug 1.
  • Marchell R, Locatis C, Burges G, Maisiak R, Liu WL, Ackerman M. Comparing High Definition Live Interactive and Store-and-Forward Consultations to In-Person Examinations. Telemed J E Health. 2017 Mar;23(3):213-218. doi: 10.1089/tmj.2016.0093. Epub 2016 Oct 5.
  • Kury F, Baik SH, McDonald CJ. Analysis of Healthcare Cost and Utilization in the First Two Years of the Medicare Shared Savings Program Using Big Data from the CMS Enclave. AMIA Annu Symp Proc. 2017 Feb 10;2016:724-733. eCollection 2016.
  • 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.
  • De Herrera A, Schaer R, Antani SK, Müller H. Using Crowdsourcing for Multi-label Biomedical Compound Figure Annotation. In: Carneiro G. et al. (eds) Deep Learning and Data Labeling for Medical Applications. LABELS 2016, DLMIA 2016. Lecture Notes in Computer Science, vol 10008. Springer, Cham
  • Narum R, Zou J, Antani SK. Semi-Automated Ground-Truth Data Collection and Annotation for Journal Figure Analysis [Poster]. 2016 NIH Research Festival
  • Rodriguez L, Morrison SM, Greenberg K, Demner-Fushman D. Towards Automatic Discovery of Genes Related to Human Placenta [Poster]. Poster Fall AMIA 2016.
  • Kochmann M, Locatis CN. Telemedicine in the Apple App Store: An exploratory study of teledermatology apps. In Smari, W. & Natarian, J. (Eds.), Proc 2016 Int Conf Collaboration Technologies and Systems, Orlando, Florida, October 31-November 4, Institute for Electrical and Electronic Engineers & Association for Computing Machinery, 534-537.
  • Marchell R, Locatis CN, Ackerman MA. High definition live interactive and store and forward teledermatology: A comparison of concordance, confidence, and satisfaction with in-person exams. In Smari, W. & Natarian, J. (Eds.), Proceedings of the 2016 International Conference on Collaboration Technologies and Systems, Orlando, Florida, October 31. Institute for Electrical and Electronic Engineers & Association for Computing Machinery, 520-523.
  • Xue Z, Rahman M, Antani SK, Long LR, Demner-Fushman D, Thoma GR. Modality Classification for Searching Figures in Biomedical Literature. Proceedings of the IEEE 29th International Symposium on Computer-Based Medical Systems, pp. 152-157, 2016. doi:10.1109/CBMS.2016.29.
  • Kim J, Thoma GR. Named Entity Recognition in Affiliations of Biomedical Articles Using Statistics and HMM Classifiers. The 2016 International Conference on Data Mining (DMIN2016), Las Vegas, USA, pp. 236-241, July, 2016.
  • 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.
  • Kochmann M, Locatis C. Direct to Consumer Mobile Teledermatology Apps: An Exploratory Study. Telemed J E Health. 2016 Aug;22(8):689-93. doi: 10.1089/tmj.2015.0189. Epub 2016 Mar 9.
  • Kim J, Lobuglio PS, Thoma GR. Visualization of Statistics from MEDLINE. 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS 2016), Dublin and Belfast, Ireland, pp. 290-291, June, 2016.
  • 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.
  • Zhang K, Liu WL, Locatis CN, Ackerman MJ. Mobile Videoconferencing Apps for Telemedicine. Telemed J E Health. 2016 Jan;22(1):56-62. doi: 10.1089/tmj.2015.0027. Epub 2015 Jul 23.
  • Kayaalp M, Browne AC, Dodd ZA, Sagan P, McDonald CJ. An Easy-to-Use Clinical Text De-identification Tool for Clinical Scientists: NLM Scrubber [Poster]. Proceedings of the Annual American Medical Informatics Association Fall Symposium: 1522.
  • Szolovits P, Aberdeen J, Meystre S, Kayaalp M. Panel on: State of the Art of Clinical Narrative Report De-Identification and Its Future [Poster]. Proceedings of the Annual American Medical Informatics Association Fall Symposium: 240–242.
  • Rossi E, Fontelo P, Ackerman M, Pozzi G, Marceglia S. A Prototype of Mobile app/EHR Communication through Standards for Home Treatment of Transcranial Direct Current Stimulation. International Conference on Healthcare Informatics (ICHI), Dallas TX, 2015. 310-315.

Pages