Tanja Bekhuis

Summary

Affiliation: University of Pittsburgh
Country: USA

Publications

  1. ncbi 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
  2. ncbi 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
  3. ncbi 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
  4. ncbi 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

Publications4

  1. ncbi 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
    ....
  2. ncbi 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...
  3. ncbi 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...
  4. ncbi 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...