Development of machine-learning algorithms for 90-day and one-year mortality prediction in the elderly with femoral neck fractures based on the HEALTH and FAITH trials

AIMS: To develop prediction models using machine-learning (ML) algorithms for 90-day and one-year mortality prediction in femoral neck fracture (FNF) patients aged 50 years or older based on the Hip fracture Evaluation with Alternatives of Total Hip arthroplasty versus Hemiarthroplasty (HEALTH) and...

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Detalles Bibliográficos
Autores principales: Dijkstra, Hidde, Oosterhoff, Jacobien H. F., van de Kuit, Anouk, IJpma, Frank F. A., Schwab, Joseph H., Poolman, Rudolf W., Sprague, Sheila, Bzovsky, Sofia, Bhandari, Mohit, Swiontkowski, Marc, Schemitsch, Emil H., Doornberg, Job N., Hendrickx, Laurent A. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Editorial Society of Bone & Joint Surgery 2023
Materias:
Hip
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10032237/
https://www.ncbi.nlm.nih.gov/pubmed/37051847
http://dx.doi.org/10.1302/2633-1462.43.BJO-2022-0162.R1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10032237/
https://www.ncbi.nlm.nih.gov/pubmed/37051847
http://dx.doi.org/10.1302/2633-1462.43.BJO-2022-0162.R1

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