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

Viewpoints and Perspectives (561) Patient-Reported Outcome Measures (PROMs) (320)

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 Harrison1 Author Orcid Image ;   Bao Sheng Loe2 Author Orcid Image ;   Przemysław Lis2 Author Orcid Image ;   Chris Sidey-Gibbons3 Author Orcid Image
Article Authors Cited by (22) Tweetations (11) Metrics
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Sven Awege Sven Awege @SVENNIECO

Maximizing the Potential of Patient-Reported Assessments by Using the Open-Source Concerto Platform With Computeriz… https://t.co/uDEXQVWujE

2:22 PM · Oct 29, 2020

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JMIR Publications JMIR Publications @jmirpub

New in JMIR: Maximizing the Potential of ##Patient-Reported Assessments by Using the Open-Source Concerto Platform… https://t.co/dXB2JBu81R

2:55 PM · Oct 29, 2020

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jellos jellos @jellocube

RT @jmirpub: New in JMIR: Maximizing the Potential of ##Patient-Reported Assessments by Using the Open-Source Concerto Platform With Comput…

3:02 PM · Oct 29, 2020

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1
Oncology & Machine Learning Oncology & Machine Learning @MlOncology

Maximizing the Potential of Patient-Reported Assessments by Using the Open-Source Concerto Platform With Computeriz… https://t.co/FfA7s2UQIZ

1:10 AM · Oct 30, 2020

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Machine Learning Bot Machine Learning Bot @ML_Tweet_Bot

RT @MlOncology: Maximizing the Potential of Patient-Reported Assessments by Using the Open-Source Concerto Platform With Computerized Adapt…

1:10 AM · Oct 30, 2020

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Chris Sidey-Gibbons Chris Sidey-Gibbons @DrCGibbons

Concerto is an secure open source tool that can facilitate the implementation of computerized adaptive tests and ma… https://t.co/ti3axiWTWi

12:17 PM · Oct 30, 2020

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Machine Learning Bot Machine Learning Bot @ML_Tweet_Bot

RT @DrCGibbons: Concerto is an secure open source tool that can facilitate the implementation of computerized adaptive tests and machine le…

12:17 PM · Oct 30, 2020

5
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UEMS HSPRG UEMS HSPRG @uemshspr

RT @DrCGibbons: Concerto is an secure open source tool that can facilitate the implementation of computerized adaptive tests and machine le…

1:22 PM · Oct 30, 2020

5
3
Oncology & Machine Learning Oncology & Machine Learning @MlOncology

Maximizing the Potential of Patient-Reported Assessments by Using the Open-Source Concerto Platform With Computeriz… https://t.co/AG9eaOb7bn

11:10 PM · Oct 31, 2020

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Machine Learning Bot Machine Learning Bot @ML_Tweet_Bot

RT @MlOncology: Maximizing the Potential of Patient-Reported Assessments by Using the Open-Source Concerto Platform With Computerized Adapt…

11:10 PM · Oct 31, 2020

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Beka "Bexx" Modebade Beka "Bexx" Modebade @bexxmodd

RT @MlOncology: Maximizing the Potential of Patient-Reported Assessments by Using the Open-Source Concerto Platform With Computerized Adapt…

11:10 PM · Oct 31, 2020

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Karen Alexander Karen Alexander @chemistrykaren

RT @DrCGibbons: Concerto is an secure open source tool that can facilitate the implementation of computerized adaptive tests and machine le…

9:38 AM · Nov 02, 2020

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