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

Substance Abuse (561) Clinical Information and Decision Making (2105) Natural Language Processing (971) Machine Learning (2260) Opioid and Related Substance Misuse (212)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53366, first published .
Developing a Framework to Infer Opioid Use Disorder Severity From Clinical Notes to Inform Natural Language Processing Methods: Characterization Study

Developing a Framework to Infer Opioid Use Disorder Severity From Clinical Notes to Inform Natural Language Processing Methods: Characterization Study

Developing a Framework to Infer Opioid Use Disorder Severity From Clinical Notes to Inform Natural Language Processing Methods: Characterization Study

Authors of this article:

Melissa N Poulsen1 Author Orcid Image ;   Philip J Freda2 Author Orcid Image ;   Vanessa Troiani3 Author Orcid Image ;   Danielle L Mowery4 Author Orcid Image
Article Authors Cited by (6) Tweetations (4) Metrics

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  2. Mahbub M, Dams G, Srinivasan S, Rizy C, Danciu I, Trafton J, Knight K. Decoding substance use disorder severity from clinical notes using a large language model. npj Mental Health Research 2025;4(1) View
  3. Hurley R, Bland K, Chaskes M, Hill E, Adams M. Diagnosis and coding of opioid misuse: a systematic scoping review and implementation framework. Pain Medicine 2025;26(7):372 View
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  5. Zompola A, Asimakopoulos T, Iosifidou C, Monopatis D, Braimakis F, Kouroukli I. Machine Learning Applications for Opioid Use Management in Chronic Cancer Pain: A Systematic Scoping Review. Cureus 2026 View
  6. Black T. A Review of Performance and Integration of Artificial Intelligence Case-Finding Tools for Psychiatric Illness Within Health Systems. Psychiatric Annals 2026;56(4) View