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

ConclusionWe developed the first TLS prediction model for pediatric ALL to assist clinicians in risk stratification at diagnosis and in developing personalized treatment protocols. This study is registered on the China Clinical Trials Registry platform (ChiCTR2200060616).Clinical trial registrationhttps://www.chictr.org.cn/, identifier ChiCTR2200060616.
Source: Frontiers in Oncology - Category: Cancer & Oncology Source Type: research