Cargando…
MACHINE-LEARNING IDENTIFIES BEST MEASURES TO PREDICT ACL RECONSTRUCTION OUTCOME
Autores principales: | Potty, Anish GR, Potty, Ajish S. R., Punyamurthula, Rithesh, Penna, Sreeram, Benavides, Chris, Chavan, Prithviraj, Mistovich, R. Justin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6447977/ http://dx.doi.org/10.1177/2325967119S00144 |
Ejemplares similares
-
Streamlining the KOOS Activities of Daily Living Subscale Using Machine
Learning
por: Gupta, Ashim, et al.
Publicado: (2020) -
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) -
Intraosseous Bioplasty for a Subchondral Cyst in the Lateral Condyle of Femur
por: Potty, Anish G.R., et al.
Publicado: (2020) -
Leukocyte-Rich vs. Leukocyte-Poor Platelet-Rich Plasma for the Treatment of Knee Osteoarthritis
por: Gupta, Ashim, et al.
Publicado: (2023)