Cargando…
Availability and reporting quality of external validations of machine-learning prediction models with orthopedic surgical outcomes: a systematic review
Background and purpose — External validation of machine learning (ML) prediction models is an essential step before clinical application. We assessed the proportion, performance, and transparent reporting of externally validated ML prediction models in orthopedic surgery, using the Transparent Repor...
Autores principales: | Groot, Olivier Q, Bindels, Bas J J, Ogink, Paul T, Kapoor, Neal D, Twining, Peter K, Collins, Austin K, Bongers, Michiel E R, Lans, Amanda, Oosterhoff, Jacobien H F, Karhade, Aditya V, Verlaan, Jorrit-Jan, Schwab, Joseph H |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8436968/ https://www.ncbi.nlm.nih.gov/pubmed/33870837 http://dx.doi.org/10.1080/17453674.2021.1910448 |
Ejemplares similares
-
Machine learning prediction models in orthopedic surgery: A systematic review in transparent reporting
por: Groot, Olivier Q., et al.
Publicado: (2021) -
Wide range of applications for machine-learning prediction models in orthopedic surgical outcome: a systematic review
por: Ogink, Paul T, et al.
Publicado: (2021) -
Intercontinental validation of a clinical prediction model for predicting 90-day and 2-year mortality in an Israeli cohort of 2033 patients with a femoral neck fracture aged 65 or above
por: Oosterhoff, Jacobien H. F., et al.
Publicado: (2023) -
Prediction of Postoperative Delirium in Geriatric Hip Fracture Patients: A Clinical Prediction Model Using Machine Learning Algorithms
por: Oosterhoff, Jacobien H. F., et al.
Publicado: (2021) -
Development and internal validation of a clinical prediction model using machine learning algorithms for 90 day and 2 year mortality in femoral neck fracture patients aged 65 years or above
por: Oosterhoff, Jacobien Hillina Froukje, et al.
Publicado: (2022)