Application of Machine Learning Algorithms to Predict Acute Kidney Injury in Elderly Orthopedic Postoperative Patients

OBJECTIVE: There has been a worldwide increment in acute kidney injury (AKI) incidence among elderly orthopedic operative patients. The AKI prediction model provides patients’ early detection a possibility at risk of AKI; most of the AKI prediction models derive, however, from the cardiothoracic ope...

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Detalles Bibliográficos
Autores principales: Chen, Qiuchong, Zhang, Yixue, Zhang, Mengjun, Li, Ziying, Liu, Jindong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979591/
https://www.ncbi.nlm.nih.gov/pubmed/35386749
http://dx.doi.org/10.2147/CIA.S349978

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979591/
https://www.ncbi.nlm.nih.gov/pubmed/35386749
http://dx.doi.org/10.2147/CIA.S349978

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