Prediction of Cisplatin‐Induced Acute Kidney Injury Using an Interpretable Machine Learning Model and Electronic Medical Record Information

Prediction of Cisplatin‐Induced Acute Kidney Injury Using an Interpretable Machine Learning Model and Electronic Medical Record Information

ABSTRACT Predicting cisplatin‐induced acute kidney injury (Cis‐AKI) before its onset is important. We aimed to develop a predictive model for Cis‐AKI using patient clinical information based on an interpretable machine learning algorithm. This single‐center retrospective study included hospitalized...

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Bibliographic Details
Main Authors: Kaori Ambe, Yuka Aoki, Miho Murashima, Chiharu Wachino, Yuto Deki, Masaya Ieda, Masahiro Kondo, Yoko Furukawa‐Hibi, Kazunori Kimura, Takayuki Hamano, Masahiro Tohkin
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Clinical and Translational Science
Subjects:
acute kidney injury
cisplatin
electronic medical record
machine learning
Online Access:https://doi.org/10.1111/cts.70115
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https://doi.org/10.1111/cts.70115

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