Machine Learning Improves Functional Upper Extremity Use Capture in Distal Radius Fracture Patients

Current outcome measures, including strength/range of motion testing, patient-reported outcomes (PROs), and motor skill testing, may provide inadequate granularity in reflecting functional upper extremity (UE) use after distal radius fracture (DRF) repair. Accelerometry analysis also has shortcoming...

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Detalles Bibliográficos
Autores principales: Sequeira, Sean B., Grainger, Megan L., Mitchell, Abigail M., Anderson, Cassidy C., Geed, Shashwati, Lum, Peter, Giladi, Aviram M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Technology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9390808/
https://www.ncbi.nlm.nih.gov/pubmed/35999884
http://dx.doi.org/10.1097/GOX.0000000000004472

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9390808/
https://www.ncbi.nlm.nih.gov/pubmed/35999884
http://dx.doi.org/10.1097/GOX.0000000000004472

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