This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (375) Patient-Reported Outcome Measures (PROMs) (231)

Published on in Vol 22 , No 10 (2020) :October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20950, first published .
Maximizing the Potential of Patient-Reported Assessments by Using the Open-Source Concerto Platform With Computerized Adaptive Testing and Machine Learning

Maximizing the Potential of Patient-Reported Assessments by Using the Open-Source Concerto Platform With Computerized Adaptive Testing and Machine Learning

Maximizing the Potential of Patient-Reported Assessments by Using the Open-Source Concerto Platform With Computerized Adaptive Testing and Machine Learning

Authors of this article:

Conrad Harrison 1 Author Orcid Image ;   Bao Sheng Loe 2 Author Orcid Image ;   Przemysław Lis 2 Author Orcid Image ;   Chris Sidey-Gibbons 3 Author Orcid Image
Article Authors Cited by (7) Tweetations (12) Metrics
Conrad Harrison 1 , BSc, MBBS, MRCS ;   Bao Sheng Loe 2 , PhD ;   Przemysław Lis 2 , MSc ;   Chris Sidey-Gibbons 3 , PhD

1 Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences , University of Oxford , Oxford , GB

2 The Psychometrics Centre , University of Cambridge , Cambridge , GB

3 MD Anderson Center for INSPiRED Cancer Care , University of Texas , Houston , TX , US

Corresponding Author:

  • Conrad Harrison, BSc, MBBS, MRCS
  • Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences
  • University of Oxford
  • The Botnar Research Centre
  • Windmill Road
  • Oxford
  • GB
  • Phone: 44 1865227374
  • Email: conrad.harrison@medsci.ox.ac.uk