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

PURPOSE: Preoperative prediction of mortality in femoral neck fracture patients aged 65 years or above may be valuable in the treatment decision-making. A preoperative clinical prediction model can aid surgeons and patients in the shared decision-making process, and optimize care for elderly femoral...

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Detalles Bibliográficos
Autores principales: Oosterhoff, Jacobien Hillina Froukje, Savelberg, Angelique Berit Marte Corlijn, Karhade, Aditya Vishwas, Gravesteijn, Benjamin Yaël, Doornberg, Job Nicolaas, Schwab, Joseph Hasbrouck, Heng, Marilyn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712294/
https://www.ncbi.nlm.nih.gov/pubmed/35643788
http://dx.doi.org/10.1007/s00068-022-01981-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712294/
https://www.ncbi.nlm.nih.gov/pubmed/35643788
http://dx.doi.org/10.1007/s00068-022-01981-4

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