Opioid misuse detection from cognitive and physiological data with temporal fusion deep learning.

Journal: Drug and alcohol dependence
Published Date: Jul 8, 2025

Abstract

INTRODUCTION: Machine learning may enable detection of opioid misuse to prevent opioid-related risks including overdose and opioid use disorder.

Authors

  • Bhanu Gullapalli
    Halıcıoğlu Data Science Institute, Department of Computer Science and Engineering, University of California San Diego, United States. Electronic address: bgullapalli@g.harvard.edu.
  • Yunfei Luo
    School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan, 430200, China.
  • Tauhidur Rahman
    Halıcıoğlu Data Science Institute, Department of Computer Science and Engineering, University of California San Diego, United States. Electronic address: trahman@ucsd.edu.
  • Eric L Garland
    Department of Psychiatry, University of California San Diego, La Jolla, CA, United States; Sanford Institute for Empathy and Compassion, University of California San Diego, La Jolla, CA, United States. Electronic address: egarland@health.ucsd.edu.

Keywords

External Resources

Popular Topics
Recent Journals