Prediction model of acute kidney injury induced by cisplatin in older adults using a machine learning algorithm

BACKGROUND: Early detection and prediction of cisplatin-induced acute kidney injury (Cis-AKI) are essential for the management of patients on chemotherapy with cisplatin. This study aimed to evaluate the performance of a prediction model for Cis-AKI. METHODS: Japanese patients, who received cisplati...

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Detalles Bibliográficos
Autores principales: Okawa, Takaya, Mizuno, Tomohiro, Hanabusa, Shogo, Ikeda, Takeshi, Mizokami, Fumihiro, Koseki, Takenao, Takahashi, Kazuo, Yuzawa, Yukio, Tsuboi, Naotake, Yamada, Shigeki, Kameya, Yoshitaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8765666/
https://www.ncbi.nlm.nih.gov/pubmed/35041690
http://dx.doi.org/10.1371/journal.pone.0262021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8765666/
https://www.ncbi.nlm.nih.gov/pubmed/35041690
http://dx.doi.org/10.1371/journal.pone.0262021

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