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

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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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  Data: Risk prediction for delayed clearance of high-dose methotrexate in pediatric hematological malignancies by machine learning.
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  Data: <searchLink fieldCode="AU" term="%22Zhan+M%22">Zhan M</searchLink>; Department of Pharmacy, Shenzhen Children's Hospital, Shenzhen, 518036, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Chen+Z%22">Chen Z</searchLink>; Department of Pharmacy, Shenzhen Children's Hospital, Shenzhen, 518036, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Ding+C%22">Ding C</searchLink>; Department of Research and Development, Shenzhen Advanced Precision Medical CO., LTD, Shenzhen, 518000, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Qu+Q%22">Qu Q</searchLink>; Department of Pharmacy, Xiangya Hospital Central South University, Changsha, 410008, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Wang+G%22">Wang G</searchLink>; Department of Pharmacy, Shenzhen Children's Hospital, Shenzhen, 518036, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Liu+S%22">Liu S</searchLink>; Department of Hematology/Oncology, Shenzhen Children's Hospital, Shenzhen, 518036, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Wen+F%22">Wen F</searchLink>; Department of Hematology/Oncology, Shenzhen Children's Hospital, Shenzhen, 518036, People's Republic of China. fwen62@126.com.
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  Data: <searchLink fieldCode="JN" term="%229111627%22">International journal of hematology</searchLink> [Int J Hematol] 2021 Oct; Vol. 114 (4), pp. 483-493. <i>Date of Electronic Publication: </i>2021 Jun 25.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Japan%22">Springer Japan </searchLink><i>Country of Publication: </i>Japan <i>NLM ID: </i>9111627 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1865-3774 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209255710%22">09255710 </searchLink><i>NLM ISO Abbreviation: </i>Int J Hematol <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s12185-021-03184-w
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              Text: 2021 Oct
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