Tanja Bekhuis

Summary

Affiliation: University of Pittsburgh
Country: USA

Publications

  1. pmc Comparative effectiveness research designs: an analysis of terms and coverage in Medical Subject Headings (MeSH) and Emtree
    Tanja Bekhuis
    Assistant Professor, Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, 5607 Baum Boulevard, Room 514, Pittsburgh, PA 15206
    J Med Libr Assoc 101:92-100. 2013
  2. 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
  3. 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
  4. 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
  5. 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

Detail Information

Publications5

  1. pmc Comparative effectiveness research designs: an analysis of terms and coverage in Medical Subject Headings (MeSH) and Emtree
    Tanja Bekhuis
    Assistant Professor, Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, 5607 Baum Boulevard, Room 514, Pittsburgh, PA 15206
    J Med Libr Assoc 101:92-100. 2013
    ....
  2. 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
    ....
  3. 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...
  4. 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...
  5. 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...