Interpretable machine learning-based individual analysis of acute kidney injury in immune checkpoint inhibitor therapy.

<h4>Background</h4>Acute kidney injury (AKI) is a critical complication of immune checkpoint inhibitor therapy. Since the etiology of AKI in patients undergoing cancer therapy varies, clarifying underlying causes in individual cases is critical for optimal cancer treatment. Although it i...

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Bibliographic Details

Published in:	PLoS ONE
Main Authors:	Minoru Sakuragi, Eiichiro Uchino, Noriaki Sato, Takeshi Matsubara, Akihiko Ueda, Yohei Mineharu, Ryosuke Kojima, Motoko Yanagita, Yasushi Okuno
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2024-01-01
Online Access:	https://doi.org/10.1371/journal.pone.0298673