Predicting delayed methotrexate elimination in pediatric acute lymphoblastic leukemia patients: an innovative web-based machine learning tool developed through a multicenter, retrospective analysis

Predicting delayed methotrexate elimination in pediatric acute lymphoblastic leukemia patients: an innovative web-based machine learning tool developed through a multicenter, retrospective analysis

Abstract Background High-dose methotrexate (HD-MTX) is a potent chemotherapeutic agent used to treat pediatric acute lymphoblastic leukemia (ALL). HD-MTX is known for cause delayed elimination and drug-related adverse events. Therefore, close monitoring of delayed MTX elimination in ALL patients is...

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Bibliographic Details
Main Authors: Chang Jian, Siqi Chen, Zhuangcheng Wang, Yang Zhou, Yang Zhang, Ziyu Li, Jie Jian, Tingting Wang, Tianyu Xiang, Xiao Wang, Yuntao Jia, Huilai Wang, Jun Gong
Format: Article
Language:English
Published: BMC 2023-08-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Methotrexate
Delayed metabolism
Acute lymphoblastic leukemia
Machine learning
Online Access:https://doi.org/10.1186/s12911-023-02248-7

Internet

https://doi.org/10.1186/s12911-023-02248-7

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