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

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, United Kingdom

2 The Psychometrics Centre, University of Cambridge, Cambridge, United Kingdom

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

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, OX3 7LD
  • United Kingdom
  • Phone: 44 1865227374
  • Email: conrad.harrison@medsci.ox.ac.uk