Tanja Bekhuis

Summary

Affiliation: University of Pittsburgh
Country: USA

Publications

  1. pmc Using natural language processing to enable in-depth analysis of clinical messages posted to an Internet mailing list: a feasibility study
    Tanja Bekhuis
    Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15232, United States tcb24 at pitt edu
    J Med Internet Res 13:e98. 2011
  2. pmc Comparative effectiveness research designs: an analysis of terms and coverage in Medical Subject Headings (MeSH) and Emtree
    Tanja Bekhuis
    Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15206, USA
    J Med Libr Assoc 101:92-100. 2013
  3. pmc Screening nonrandomized studies for medical systematic reviews: a comparative study of classifiers
    Tanja Bekhuis
    Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15232, USA
    Artif Intell Med 55:197-207. 2012
  4. ncbi request reprint Towards automating the initial screening phase of a systematic review
    Tanja Bekhuis
    Center for Dental Informatics, School of Dental Medicine, Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, PA, USA
    Stud Health Technol Inform 160:146-50. 2010
  5. pmc Are dentists interested in the oral-systemic disease connection? A qualitative study of an online community of 450 practitioners
    Mei Song
    Department of Dental Public Health, School of Dental Medicine, University of Pittsburgh, Pittsburgh, USA
    BMC Oral Health 13:65. 2013
  6. pmc Barriers to implementing evidence-based clinical guidelines: a survey of early adopters
    Heiko Spallek
    Center for Dental Informatics, Department of Dental Public Health and Information Management, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA
    J Evid Based Dent Pract 10:195-206. 2010
  7. pmc Feature engineering and a proposed decision-support system for systematic reviewers of medical evidence
    Tanja Bekhuis
    Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
    PLoS ONE 9:e86277. 2014

Detail Information

Publications7

  1. pmc Using natural language processing to enable in-depth analysis of clinical messages posted to an Internet mailing list: a feasibility study
    Tanja Bekhuis
    Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15232, United States tcb24 at pitt edu
    J Med Internet Res 13:e98. 2011
    ..However, a necessary first step involves developing procedures to identify messages that are worth studying given our resources for planned, labor-intensive research...
  2. pmc Comparative effectiveness research designs: an analysis of terms and coverage in Medical Subject Headings (MeSH) and Emtree
    Tanja Bekhuis
    Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15206, USA
    J Med Libr Assoc 101:92-100. 2013
    ....
  3. pmc Screening nonrandomized studies for medical systematic reviews: a comparative study of classifiers
    Tanja Bekhuis
    Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15232, USA
    Artif Intell Med 55:197-207. 2012
    ....
  4. ncbi request reprint Towards automating the initial screening phase of a systematic review
    Tanja Bekhuis
    Center for Dental Informatics, School of Dental Medicine, Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, PA, USA
    Stud Health Technol Inform 160:146-50. 2010
    ..Because near-perfect recall is essential in this context, we conclude that supervised machine learning methods may be useful for reducing workload under certain conditions...
  5. pmc Are dentists interested in the oral-systemic disease connection? A qualitative study of an online community of 450 practitioners
    Mei Song
    Department of Dental Public Health, School of Dental Medicine, University of Pittsburgh, Pittsburgh, USA
    BMC Oral Health 13:65. 2013
    ....
  6. pmc Barriers to implementing evidence-based clinical guidelines: a survey of early adopters
    Heiko Spallek
    Center for Dental Informatics, Department of Dental Public Health and Information Management, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA
    J Evid Based Dent Pract 10:195-206. 2010
    ..The purpose of this study was to identify barriers that early-adopting dentists perceive as common and challenging when implementing recommendations from evidence-based (EB) clinical guidelines...
  7. pmc Feature engineering and a proposed decision-support system for systematic reviewers of medical evidence
    Tanja Bekhuis
    Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
    PLoS ONE 9:e86277. 2014
    ..Based on our findings, we propose an automated system to reduce screeing burden, as well as offer quality assurance...