Risk prediction for delayed clearance of high-dose methotrexate in pediatric hematological malignancies by machine learning.

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Bibliographic Details
Title: Risk prediction for delayed clearance of high-dose methotrexate in pediatric hematological malignancies by machine learning.
Authors: Zhan M; Department of Pharmacy, Shenzhen Children's Hospital, Shenzhen, 518036, People's Republic of China., Chen Z; Department of Pharmacy, Shenzhen Children's Hospital, Shenzhen, 518036, People's Republic of China., Ding C; Department of Research and Development, Shenzhen Advanced Precision Medical CO., LTD, Shenzhen, 518000, People's Republic of China., Qu Q; Department of Pharmacy, Xiangya Hospital Central South University, Changsha, 410008, People's Republic of China., Wang G; Department of Pharmacy, Shenzhen Children's Hospital, Shenzhen, 518036, People's Republic of China., Liu S; Department of Hematology/Oncology, Shenzhen Children's Hospital, Shenzhen, 518036, People's Republic of China., Wen F; Department of Hematology/Oncology, Shenzhen Children's Hospital, Shenzhen, 518036, People's Republic of China. fwen62@126.com.
Source: International journal of hematology [Int J Hematol] 2021 Oct; Vol. 114 (4), pp. 483-493. Date of Electronic Publication: 2021 Jun 25.
Publication Type: Journal Article
Journal Info: Publisher: Springer Japan Country of Publication: Japan NLM ID: 9111627 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1865-3774 (Electronic) Linking ISSN: 09255710 NLM ISO Abbreviation: Int J Hematol Subsets: MEDLINE
Database: MEDLINE Ultimate
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