Identifying Patients at Risk of Acute Kidney Injury among Patients Receiving Immune Checkpoint Inhibitors: A Machine Learning Approach

Background: The benefits of immune checkpoint inhibitors (ICPis) in the treatment of patients with malignancies emerged recently, but immune-related adverse events (IRAEs), including acute kidney injury (AKI), cannot be ignored. The present study established and validated an ICPi-AKI prediction mode...

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Detalles Bibliográficos
Autores principales: Yu, Xiang, Wu, Rilige, Ji, Yuwei, Huang, Mengjie, Feng, Zhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9776989/
https://www.ncbi.nlm.nih.gov/pubmed/36553164
http://dx.doi.org/10.3390/diagnostics12123157

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9776989/
https://www.ncbi.nlm.nih.gov/pubmed/36553164
http://dx.doi.org/10.3390/diagnostics12123157

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