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

Development and Evaluation of Research Methods, Instruments and Tools (608) Digital Pain Assessment and Management (185) Artificial Intelligence (1626) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1517) New Methods (1009) Machine Learning (1649) Tools, Programs and Algorithms (309) Postoperative Pain Management (33) Perioperative Software Tools for Clinicians (18)

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

Authors of this article:

Ajan Subramanian1 Author Orcid Image ;   Rui Cao2 Author Orcid Image ;   Emad Kasaeyan Naeini1 Author Orcid Image ;   Seyed Amir Hossein Aqajari2 Author Orcid Image ;   Thomas D Hughes3 Author Orcid Image ;   Michael-David Calderon4 Author Orcid Image ;   Kai Zheng5 Author Orcid Image ;   Nikil Dutt1 Author Orcid Image ;   Pasi Liljeberg6 Author Orcid Image ;   Sanna Salanterä7, 8 Author Orcid Image ;   Ariana M Nelson9 Author Orcid Image ;   Amir M Rahmani1, 2, 3, 10 Author Orcid Image
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