Development and validation of interpretable machine learning models for predicting AKI risk in patients treated with PD-1/PD-L1: a retrospective study

Development and validation of interpretable machine learning models for predicting AKI risk in patients treated with PD-1/PD-L1: a retrospective study

Abstract Background Anti-programmed cell death protein 1 (PD-1)/programmed cell death ligand 1 (PD-L1) immunotherapy has revolutionized cancer treatment. However, it can cause immune-related adverse events, including acute kidney injury (AKI). Such adverse events can interrupt treatment, affecting p...

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Bibliographic Details
Main Authors: Wentong Liu, Kaiyue Ji, Qianwen Tang, Weiqi Xia, Wei Zhang, Lina Shao, Jiana Shi, Yukun Li, Ping Huang, Xiaolan Ye
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Medical Informatics and Decision Making
Subjects:
PD-1/PD-L1
AKI
Machine learning
Interpretable
Predictive model
Online Access:https://doi.org/10.1186/s12911-025-03142-0
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https://doi.org/10.1186/s12911-025-03142-0

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