Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach
BackgroundAcute pain management is critical in postoperative care, especially in vulnerable patient populations that may be unable to self-report pain levels effectively. Current methods of pain assessment often rely on subjective patient reports or behavioral pain observatio...
Saved in:
Main Authors: | Ajan Subramanian, Rui Cao, Emad Kasaeyan Naeini, Seyed Amir Hossein Aqajari, Thomas D Hughes, Michael-David Calderon, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana M Nelson, Amir M Rahmani |
---|---|
Format: | Article |
Language: | English |
Published: |
JMIR Publications
2025-01-01
|
Series: | JMIR Formative Research |
Online Access: | https://formative.jmir.org/2025/1/e67969 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Status Data and Communication Aspects in Dynamically Clustered Network-on-Chip Monitoring
by: Ville Rantala, et al.
Published: (2012-01-01) -
An integrated toolbox for creating neuromorphic edge applications
by: Lars Niedermeier, et al.
Published: (2025-01-01) -
The Criterion Validity, Reliability, and Feasibility of an Instrument for Assessing the Nursing Intensity in Perioperative Settings
by: Satu Rauta, et al.
Published: (2017-01-01) -
Successful Treatment of Facial Acne Fulminans: Antimicrobial Agents and Oral Prednisolone as Promising Regimes
by: Amir Hossein Siadat, et al.
Published: (2017-01-01) -
Postoperative Complications Leading to Death after Coagulum Pyelolithotomy in a Tetraplegic Patient: Can We Prevent Prolonged Ileus, Recurrent Intestinal Obstruction due to Adhesions Requiring Laparotomies, Chest Infection Warranting Tracheostomy, and Mechanical Ventilation?
by: Subramanian Vaidyanathan, et al.
Published: (2013-01-01)