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

Machine Learning (2115) Advanced Data Analytics in eHealth (215) Clinical Communication, Electronic Consultation and Telehealth (775) New Technologies (111) Tools, Programs and Algorithms (385) Artificial Intelligence (2180) mHealth for Rehabilitation (359) Back Pain (137) Decision Support for Health Professionals (1560) Internet for Rehabilitation (93) Cognitive and Neurorehabilitation (355) Internet of Things (100)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64806, first published .
Predicting Pain Response to a Remote Musculoskeletal Care Program for Low Back Pain Management: Development of a Prediction Tool

Predicting Pain Response to a Remote Musculoskeletal Care Program for Low Back Pain Management: Development of a Prediction Tool

Predicting Pain Response to a Remote Musculoskeletal Care Program for Low Back Pain Management: Development of a Prediction Tool

Authors of this article:

Anabela C Areias1 Author Orcid Image ;   Robert G Moulder2 Author Orcid Image ;   Maria Molinos1 Author Orcid Image ;   Dora Janela1 Author Orcid Image ;   Virgílio Bento1 Author Orcid Image ;   Carolina Moreira1, 3 Author Orcid Image ;   Vijay Yanamadala1, 4, 5 Author Orcid Image ;   Steven P Cohen6, 7, 8, 9, 10, 11 Author Orcid Image ;   Fernando Dias Correia1, 12 Author Orcid Image ;   Fabíola Costa1 Author Orcid Image
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Journals

  1. Bakr A, Basem Y, Sherif A, Ata A, Saad N, Fayed Y, Tamer M, Elkady M, Abdelmonem R. Tailored Therapeutic Strategies for Fetuses, Neonates, Pediatrics, Geriatrics, Athletes, and Critical Cases in the Era of Personalized Medicine. Diseases 2025;14(1):12 View