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

Mobile Health (mhealth) (2765) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1309)

Published on in Vol 20, No 11 (2018): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12001, first published .
Defining and Predicting Pain Volatility in Users of the Manage My Pain App: Analysis Using Data Mining and Machine Learning Methods

Defining and Predicting Pain Volatility in Users of the Manage My Pain App: Analysis Using Data Mining and Machine Learning Methods

Defining and Predicting Pain Volatility in Users of the Manage My Pain App: Analysis Using Data Mining and Machine Learning Methods

Authors of this article:

Quazi Abidur Rahman1 Author Orcid Image ;   Tahir Janmohamed2 Author Orcid Image ;   Meysam Pirbaglou3 Author Orcid Image ;   Hance Clarke4 Author Orcid Image ;   Paul Ritvo3, 5 Author Orcid Image ;   Jane M Heffernan1 Author Orcid Image ;   Joel Katz3, 4, 5 Author Orcid Image
Article Authors Cited by (26) Tweetations (6) Metrics

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  11. Gerner M, Vuillerme N, Aubourg T, Messner E, Terhorst Y, Hörmann V, Ganzleben I, Schenker H, Schett G, Atreya R, Neurath M, Knitza J, Orlemann T. Review and Analysis of German Mobile Apps for Inflammatory Bowel Disease Management Using the Mobile Application Rating Scale: Systematic Search in App Stores and Content Analysis. JMIR mHealth and uHealth 2022;10(5):e31102 View
  12. Verma D, Bach K, Mork P. Application of Machine Learning Methods on Patient Reported Outcome Measurements for Predicting Outcomes: A Literature Review. Informatics 2021;8(3):56 View
  13. Su D, Li Q, Zhang T, Veliz P, Chen Y, He K, Mahajan P, Zhang X. Prediction of acute appendicitis among patients with undifferentiated abdominal pain at emergency department. BMC Medical Research Methodology 2022;22(1) View
  14. Verma D, Jansen D, Bach K, Poel M, Mork P, d’Hollosy W. Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes. BMC Medical Informatics and Decision Making 2022;22(1) View
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  18. Koh R, Khan M, Rashidiani S, Hassan S, Tucci V, Liu T, Nesovic K, Kumbhare D, Doyle T. Check It Before You Wreck It: A Guide to STAR-ML for Screening Machine Learning Reporting in Research. IEEE Access 2023;11:101567 View
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Books/Policy Documents

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