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

Non-randomized Protocols and Methods (ehealth) (540) Digital Pain Assessment and Management (145) Telehealth and Telemonitoring (1556) Machine Learning (1370) Wearable Devices and Sensors (811) Postoperative Monitoring and Telemonitoring (107)

Published on in Vol 9, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17783, first published .
Prospective Study Evaluating a Pain Assessment Tool in a Postoperative Environment: Protocol for Algorithm Testing and Enhancement

Prospective Study Evaluating a Pain Assessment Tool in a Postoperative Environment: Protocol for Algorithm Testing and Enhancement

Prospective Study Evaluating a Pain Assessment Tool in a Postoperative Environment: Protocol for Algorithm Testing and Enhancement

Authors of this article:

Emad Kasaeyan Naeini1 Author Orcid Image ;   Mingzhe Jiang2 Author Orcid Image ;   Elise Syrjälä2 Author Orcid Image ;   Michael-David Calderon3 Author Orcid Image ;   Riitta Mieronkoski4 Author Orcid Image ;   Kai Zheng5 Author Orcid Image ;   Nikil Dutt1 Author Orcid Image ;   Pasi Liljeberg2 Author Orcid Image ;   Sanna Salanterä4, 6 Author Orcid Image ;   Ariana M Nelson7 Author Orcid Image ;   Amir M Rahmani1, 8 Author Orcid Image
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