Published on in Vol 22, No 1 (2020): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15645, first published .
The Detection of Opioid Misuse and Heroin Use From Paramedic Response Documentation: Machine Learning for Improved Surveillance

The Detection of Opioid Misuse and Heroin Use From Paramedic Response Documentation: Machine Learning for Improved Surveillance

The Detection of Opioid Misuse and Heroin Use From Paramedic Response Documentation: Machine Learning for Improved Surveillance

Journals

  1. Barenholtz E, Fitzgerald N, Hahn W. Machine-learning approaches to substance-abuse research: emerging trends and their implications. Current Opinion in Psychiatry 2020;33(4):334 View
  2. Mortaz E, Dag A, Hutzler L, Gharibo C, Anzisi L, Bosco J. Short-term prediction of opioid prescribing patterns for orthopaedic surgical procedures: a machine learning framework. Journal of Business Analytics 2021;4(1):1 View
  3. Balsamo D, Bajardi P, Salomone A, Schifanella R. Patterns of Routes of Administration and Drug Tampering for Nonmedical Opioid Consumption: Data Mining and Content Analysis of Reddit Discussions. Journal of Medical Internet Research 2021;23(1):e21212 View
  4. De Silva K, Mathews N, Teede H, Forbes A, Jönsson D, Demmer R, Enticott J. Clinical notes as prognostic markers of mortality associated with diabetes mellitus following critical care: A retrospective cohort analysis using machine learning and unstructured big data. Computers in Biology and Medicine 2021;132:104305 View