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

Mobile Health (mhealth) (1918) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1030)

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 Rahman 1 Author Orcid Image ;   Tahir Janmohamed 2 Author Orcid Image ;   Meysam Pirbaglou 3 Author Orcid Image ;   Hance Clarke 4 Author Orcid Image ;   Paul Ritvo 3, 5 Author Orcid Image ;   Jane M Heffernan 1 Author Orcid Image ;   Joel Katz 3, 4, 5 Author Orcid Image
Article Authors Cited by (20) Tweetations (6) Metrics
Quazi Abidur Rahman 1 , PhD ;   Tahir Janmohamed 2 , PEng, MBA ;   Meysam Pirbaglou 3 , MSc ;   Hance Clarke 4 , MD, PhD, FRCPC ;   Paul Ritvo 3, 5 , PhD ;   Jane M Heffernan 1 , PhD ;   Joel Katz 3, 4, 5 , PhD

1 Department of Computer Science , Lakehead University , Thunder Bay , ON , CA

2 ManagingLife, Inc , Toronto , ON , CA

3 School of Kinesiology & Health Science , York University , Toronto , ON , CA

4 Department of Anesthesia and Pain Management , Toronto General Hospital , Toronto , ON , CA

5 Department of Psychology , York University , Toronto , ON , CA

Corresponding Author: