Tanja Bekhuis

Summary

Affiliation: University of Pittsburgh
Country: USA

Publications

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  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 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
    ....
  2. 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...
  3. 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
    ....
  4. 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
    ....
  5. 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...
  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...