Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67969, first published .
Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach

Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach

Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach

Ajan Subramanian   1 , MS ;   Rui Cao   2 , MS ;   Emad Kasaeyan Naeini   1 , PhD ;   Seyed Amir Hossein Aqajari   2 , PhD ;   Thomas D Hughes   3 , RN ;   Michael-David Calderon   4 , MS ;   Kai Zheng   5 , PhD ;   Nikil Dutt   1 , PhD ;   Pasi Liljeberg   6 , PhD ;   Sanna Salanterä   7, 8 , RN, PhD ;   Ariana M Nelson   9 , MD ;   Amir M Rahmani   1, 2, 3, 10 , MBA, PhD

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

2 Department of Electrical Engineering and Computer Science, University of California, Irvine, Irvine, CA, United States

3 School of Nursing, University of California, Irvine, Irvine, CA, United States

4 College of Medicine, Kansas City University, Kansas City, MO, United States

5 Department of Informatics, University of California, Irvine, Irvine, CA, United States

6 Department of Computing, University of Turku, Turku, Finland

7 Department of Nursing Science, University of Turku, Turku, Finland

8 Turku University Hospital, University of Turku, Turku, Finland

9 Department of Anesthesiology and Pain Medicine, University of California, Irvine, Irvine, CA, United States

10 Institute for Future Health, University of California, Irvine, Irvine, CA, United States

Corresponding Author:

  • Ajan Subramanian, MS
  • Department of Computer Science
  • University of California, Irvine
  • 3211 Donald Bren Hall
  • Irvine, CA 92617
  • United States
  • Phone: 1 6506604994
  • Email: ajans1@uci.edu