Cargando…
Predicting patient-reported outcomes following lumbar spine surgery: development and external validation of multivariable prediction models
BACKGROUND: This study aimed to develop and externally validate prediction models of spinal surgery outcomes based on a retrospective review of a prospective clinical database, uniquely comparing multivariate regression and random forest (machine learning) approaches, and identifying the most import...
Autores principales: | Halicka, Monika, Wilby, Martin, Duarte, Rui, Brown, Christopher |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134672/ https://www.ncbi.nlm.nih.gov/pubmed/37106435 http://dx.doi.org/10.1186/s12891-023-06446-2 |
Ejemplares similares
-
Range of Motion of the Intact Lumbar Segment: A Multivariate Study of 42 Lumbar Spines
por: Cook, Daniel J., et al.
Publicado: (2015) -
External validation of multivariable prediction models: a systematic review of methodological conduct and reporting
por: Collins, Gary S, et al.
Publicado: (2014) -
Determinants of Postoperative Compliance of Patient-Reported Outcome Assessments following Lumbar Spine Surgery
por: Ifearulundu, Ikenna H., et al.
Publicado: (2022) -
Average Lumbar Hounsfield Units Predicts Osteoporosis-Related
Complications Following Lumbar Spine Fusion
por: St. Jeor, Jeffery D., et al.
Publicado: (2020) -
Developing and validating a multivariable prediction model for predicting the cost of colon surgery
por: Taha, Anas, et al.
Publicado: (2022)