Risk prediction for delayed clearance of high-dose methotrexate in pediatric hematological malignancies by machine learning
Volume: 114, Issue: 4, Pages: 483 - 493
Published: Jun 25, 2021
Abstract
This study aimed to establish a predictive model to identify children with hematologic malignancy at high risk for delayed clearance of high-dose methotrexate (HD-MTX) based on machine learning. A total of 205 patients were recruited. Five variables (hematocrit, risk classification, dose, SLC19A1 rs2838958, sex) and three variables (SLC19A1 rs2838958, sex, dose) were statistically significant in univariable analysis and, separately, multivariate...
Paper Details
Title
Risk prediction for delayed clearance of high-dose methotrexate in pediatric hematological malignancies by machine learning
Published Date
Jun 25, 2021
Volume
114
Issue
4
Pages
483 - 493
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