Codice QR

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...

Descrizione completa

Salvato in:
Autori principali: Yao Xiao, Li Xiao, Yang Zhang, Ximing Xu, Xianmin Guan, Yuxia Guo, Yali Shen, XiaoYing Lei, Ying Dou, Jie Yu
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2024-03-01
Serie:Frontiers in Oncology
Soggetti:
machine learning
predictive modeling
acute lymphoblastic leukemia
tumor lysis syndrome
treatment toxicity
Accesso online:https://www.frontiersin.org/articles/10.3389/fonc.2024.1337295/full
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi