Risk factor identification for delayed excretion in pediatric high-dose methotrexate therapy: a machine learning analysis of real-world data.

Saved in:
Bibliographic Details
Title: Risk factor identification for delayed excretion in pediatric high-dose methotrexate therapy: a machine learning analysis of real-world data.
Authors: Zhou C; Pediatric Intensive Care Unit, Children's Hospital of Nanjing Medical University, Nanjing, China.; Department of Pediatrics, The Second People's Hospital of Changzhou Affiliated to Nanjing Medical University, Nanjing, China., Qian Y; Pediatric Intensive Care Unit, Children's Hospital of Nanjing Medical University, Nanjing, China., Xue Y; Department of Hematology, Children's Hospital of Nanjing Medical University, Nanjing, China., Rong L; Department of Hematology, Children's Hospital of Nanjing Medical University, Nanjing, China., Wan Y; Department of Pediatrics, The Second People's Hospital of Changzhou Affiliated to Nanjing Medical University, Nanjing, China., Leng K; Department of Pediatrics, The Second People's Hospital of Changzhou Affiliated to Nanjing Medical University, Nanjing, China., Miao H; Pediatric Intensive Care Unit, Children's Hospital of Nanjing Medical University, Nanjing, China., Chen F; Department of Pharmacy, Children's Hospital of Nanjing Medical University, Nanjing, China., Fang Y; Department of Hematology, Children's Hospital of Nanjing Medical University, Nanjing, China., Ge X; Pediatric Intensive Care Unit, Children's Hospital of Nanjing Medical University, Nanjing, China.; Jiangsu Key Laboratory of Children's Major Disease Research, Children's Hospital of Nanjing Medical University, Nanjing, China.
Source: Frontiers in pharmacology [Front Pharmacol] 2025 Sep 17; Vol. 16, pp. 1662718. Date of Electronic Publication: 2025 Sep 17 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media] Country of Publication: Switzerland NLM ID: 101548923 Publication Model: eCollection Cited Medium: Print ISSN: 1663-9812 (Print) Linking ISSN: 16639812 NLM ISO Abbreviation: Front Pharmacol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1663-9812
DOI:10.3389/fphar.2025.1662718