Prediction of acute kidney injury in patients with femoral neck fracture utilizing machine learning

BACKGROUND: Acute kidney injury (AKI) is a common complication associated with significant morbidity and mortality in high-energy trauma patients. Given the poor efficacy of interventions after AKI development, it is important to predict AKI before its diagnosis. Therefore, this study aimed to devel...

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Detalles Bibliográficos
Autores principales: Liu, Jun, Xu, Lingxiao, Zhu, Enzhao, Han, Chunxia, Ai, Zisheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Surgery
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360500/
https://www.ncbi.nlm.nih.gov/pubmed/35959132
http://dx.doi.org/10.3389/fsurg.2022.928750

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360500/
https://www.ncbi.nlm.nih.gov/pubmed/35959132
http://dx.doi.org/10.3389/fsurg.2022.928750

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