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

Journals

  1. Burns J, Gerhart J, Rizvydeen M, Kimura M, Burgess H. Morning Bright Light Treatment for Chronic Low Back Pain: Potential Impact on the Volatility of Pain, Mood, Function, and Sleep. Pain Medicine 2020;21(6):1153 View
  2. Richardson P, Harrison L, Heathcote L, Rush G, Shear D, Lalloo C, Hood K, Wicksell R, Stinson J, Simons L. mHealth for pediatric chronic pain: state of the art and future directions. Expert Review of Neurotherapeutics 2020;20(11):1177 View
  3. Necka E, Lee I, Kucyi A, Cheng J, Yu Q, Atlas L. Applications of dynamic functional connectivity to pain and its modulation. PAIN Reports 2019;4(4):e752 View
  4. Moore R, Smith R, Liu Q. Using computational ethnography to enhance the curation of real-world data (RWD) for chronic pain and invisible disability use cases. ACM SIGACCESS Accessibility and Computing 2020;(127):1 View
  5. Simpao A, Rehman M. Anesthesia Informatics in 2018. Advances in Anesthesia 2019;37:145 View
  6. Rahman Q, Janmohamed T, Clarke H, Ritvo P, Heffernan J, Katz J. Interpretability and Class Imbalance in Prediction Models for Pain Volatility in Manage My Pain App Users: Analysis Using Feature Selection and Majority Voting Methods. JMIR Medical Informatics 2019;7(4):e15601 View
  7. Slepian P, Peng M, Janmohamed T, Kotteeswaran Y, Manoo V, Blades A, Fiorellino J, Katznelson R, Tamir D, McRae K, Kahn M, Huang A, Kona S, Thaker S, Weinrib A, Katz J, Clarke H. Engagement with Manage My Pain mobile health application among patients at the Transitional Pain Service. DIGITAL HEALTH 2020;6:205520762096229 View
  8. Bhatia A, Kara J, Janmohamed T, Prabhu A, Lebovic G, Katz J, Clarke H. User Engagement and Clinical Impact of the Manage My Pain App in Patients With Chronic Pain: A Real-World, Multi-site Trial. JMIR mHealth and uHealth 2021;9(3):e26528 View
  9. Jenssen M, Bakkevoll P, Ngo P, Budrionis A, Fagerlund A, Tayefi M, Bellika J, Godtliebsen F. Machine Learning in Chronic Pain Research: A Scoping Review. Applied Sciences 2021;11(7):3205 View

Books/Policy Documents

  1. Cho P, Singh K, Dunn J. Artificial Intelligence in Medicine. View