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

Non-Randomized Study Protocols and Methods (Non-eHealth) (611) Natural Language Processing (789) Clinical Information and Decision Making (1609) Decision Support for Health Professionals (1325) Substance Abuse (456)

Published on in Vol 11, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42971, first published .
The Evaluation of a Clinical Decision Support Tool Using Natural Language Processing to Screen Hospitalized Adults for Unhealthy Substance Use: Protocol for a Quasi-Experimental Design

The Evaluation of a Clinical Decision Support Tool Using Natural Language Processing to Screen Hospitalized Adults for Unhealthy Substance Use: Protocol for a Quasi-Experimental Design

The Evaluation of a Clinical Decision Support Tool Using Natural Language Processing to Screen Hospitalized Adults for Unhealthy Substance Use: Protocol for a Quasi-Experimental Design

Authors of this article:

Cara Joyce1 Author Orcid Image ;   Talar W Markossian2 Author Orcid Image ;   Jenna Nikolaides3 Author Orcid Image ;   Elisabeth Ramsey3 Author Orcid Image ;   Hale M Thompson3 Author Orcid Image ;   Juan C Rojas3 Author Orcid Image ;   Brihat Sharma3 Author Orcid Image ;   Dmitriy Dligach1 Author Orcid Image ;   Madeline K Oguss4 Author Orcid Image ;   Richard S Cooper2 Author Orcid Image ;   Majid Afshar4 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

Journals

  1. Castro Martínez J, Santamaría-García H. Understanding mental health through computers: An introduction to computational psychiatry. Frontiers in Psychiatry 2023;14 View
  2. Agurto C, Cecchi G, King S, Eyigoz E, Parvaz M, Alia-Klein N, Goldstein R. Speak and You Shall Predict: Evidence That Speech at Initial Cocaine Abstinence Is a Biomarker of Long-Term Drug Use Behavior. Biological Psychiatry 2025 View