Prediction of tumor lysis syndrome in childhood acute lymphoblastic leukemia based on machine learning models: a retrospective study

BackgroundTumor lysis syndrome (TLS) often occurs early after induction chemotherapy for acute lymphoblastic leukemia (ALL) and can rapidly progress. This study aimed to construct a machine learning model to predict the risk of TLS using clinical indicators at the time of ALL diagnosis.MethodsThis o...

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Bibliografski detalji

Glavni autori:	Yao Xiao, Li Xiao, Yang Zhang, Ximing Xu, Xianmin Guan, Yuxia Guo, Yali Shen, XiaoYing Lei, Ying Dou, Jie Yu
Format:	Artigo
Jezik:	Inglês
Izdano:	Frontiers Media S.A. 2024-03-01
Serija:	Frontiers in Oncology
Teme:	machine learning predictive modeling acute lymphoblastic leukemia tumor lysis syndrome treatment toxicity
Online pristup:	https://www.frontiersin.org/articles/10.3389/fonc.2024.1337295/full
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