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

Chatbots and Conversational Agents (775) Smoking Cessation (646) Generative Language Models Including ChatGPT (782) AI Language Models in Health Care (234) Artificial Intelligence (2308) mHealth for Data Collection and Research (1243)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/83437, first published .
Enhancing Detection of Message Intents in a Mobile Health Smoking-Cessation Intervention Using Large Language Model Fine-Tuning, Data Downsampling, and Error Correction: Algorithm Development and Validation

Enhancing Detection of Message Intents in a Mobile Health Smoking-Cessation Intervention Using Large Language Model Fine-Tuning, Data Downsampling, and Error Correction: Algorithm Development and Validation

Enhancing Detection of Message Intents in a Mobile Health Smoking-Cessation Intervention Using Large Language Model Fine-Tuning, Data Downsampling, and Error Correction: Algorithm Development and Validation

Authors of this article:

Shagoto Rahman1 Author Orcid Image ;   Cornelia (Connie) Pechmann2 Author Orcid Image ;   Ian G Harris1 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Shagoto Rahman   1 , MS ;   Cornelia (Connie) Pechmann   2 , PhD ;   Ian G Harris   1 , PhD

1 Department of Computer Science, University of California, Irvine, Irvine, CA, United States

2 The Paul Merage School of Business, University of California, Irvine, Irvine, CA, United States

Corresponding Author:

  • Shagoto Rahman, MS
  • Department of Computer Science
  • University of California, Irvine
  • Irvine, CA 92697
  • United States
  • Phone: 1 9492334120
  • Email: shagotor@uci.edu