Cargando…
Streamlining the KOOS Activities of Daily Living Subscale Using Machine Learning
BACKGROUND: Functional outcome scores provide valuable data, yet they can be burdensome to patients and require significant resources to administer. The Knee injury and Osteoarthritis Outcome Score (KOOS) is a knee-specific patient-reported outcome measure (PROM) and is validated for anterior crucia...
Autores principales: | Gupta, Ashim, Potty, Ajish S.R., Ganta, Deepak, Mistovich, R. Justin, Penna, Sreeram, Cady, Craig, Potty, Anish G. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093693/ https://www.ncbi.nlm.nih.gov/pubmed/32270015 http://dx.doi.org/10.1177/2325967120910447 |
Ejemplares similares
-
MACHINE-LEARNING IDENTIFIES BEST MEASURES TO PREDICT ACL
RECONSTRUCTION OUTCOME
por: Potty, Anish GR, et al.
Publicado: (2019) -
Approaching Artificial Intelligence in Orthopaedics: Predictive Analytics and Machine Learning to Prognosticate Arthroscopic Rotator Cuff Surgical Outcomes
por: Potty, Anish G., et al.
Publicado: (2023) -
Cell-free Stem Cell-Derived Extract Formulation for Regenerative Medicine Applications
por: Gupta, Ashim, et al.
Publicado: (2020) -
Cross-cultural translation and validation of the Spanish version of the patellofemoral pain and osteoarthritis subscale of the KOOS (KOOS-PF)
por: Martinez-Cano, Juan Pablo, et al.
Publicado: (2021) -
Cell-free stem cell-derived extract formulation for treatment of knee osteoarthritis: study protocol for a preliminary non-randomized, open-label, multi-center feasibility and safety study
por: Gupta, Ashim, et al.
Publicado: (2021)