Comparison of the effectiveness of different machine learning algorithms in predicting new fractures after PKP for osteoporotic vertebral compression fractures

BACKGROUND: The use of machine learning has the potential to estimate the probability of a second classification event more accurately than traditional statistical methods, and few previous studies on predicting new fractures after osteoporotic vertebral compression fractures (OVCFs) have focussed o...

Descripción completa

Detalles Bibliográficos
Autores principales: Ma, Yiming, Lu, Qi, Yuan, Feng, Chen, Hongliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869614/
https://www.ncbi.nlm.nih.gov/pubmed/36683045
http://dx.doi.org/10.1186/s13018-023-03551-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869614/
https://www.ncbi.nlm.nih.gov/pubmed/36683045
http://dx.doi.org/10.1186/s13018-023-03551-9

Ejemplares similares