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](https://asset.jmir.pub/assets/fad381786353bc0f14324ca42a4e8400.png 480w,https://asset.jmir.pub/assets/fad381786353bc0f14324ca42a4e8400.png 960w,https://asset.jmir.pub/assets/fad381786353bc0f14324ca42a4e8400.png 1920w,https://asset.jmir.pub/assets/fad381786353bc0f14324ca42a4e8400.png 2500w)
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