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

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Publication Details

Journal
JMIR Medical Informatics
Published
2024-11-19
DOI
https://doi.org/10.2196/64806
Citations
2
Primary Topic
Musculoskeletal pain and rehabilitation
Type
article
Field-Weighted Citation Impact
0.90
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article

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

Robert Moulder, Fabíola Costa, Maria Molinos, Anabela C. Areias et al.
2 citations
JMIR Medical Informatics
Musculoskeletal pain and rehabilitation
0.90
article

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

Robert Moulder, Fabíola Costa, Maria Molinos, Anabela C. Areias, Virgílio Bento, Vijay Yanamadala, Dora Janela, Steven Paul Cohen, Carolina Villela Moreira, Fernando Dias Correia
article en
2 citations

Abstract

No abstract available for this paper.
JMIR Medical InformaticsVol. 12
Johns Hopkins University (US), Uniformed Services University of the Health Sciences (US), Universidade do Porto (PT), University of Colorado Boulder (US), Johns Hopkins Medicine (US), Centro Hospitalar do Porto (PT), Quinnipiac University (US), Hartford Financial Services (United States)
Openalex Percentile: Top 23%
Musculoskeletal pain and rehabilitation
0.90
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Predicting Pain Response to a Remote Musculoskeletal Care Program for Low Back Pain Management: Development of a Prediction Tool — Robert Moulder, Fabíola Costa, et al. · JMIR Medical Informatics (2024) | TGRS Research Map | TGRS