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Machine learning-based scoring models to predict hematopoietic stem cell mobilization in allogeneic donors.
Xiang, Jingyu; Shi, Min; Fiala, Mark A; Gao, Feng; Rettig, Michael P; Uy, Geoffrey L; Schroeder, Mark A; Weilbaecher, Katherine N; Stockerl-Goldstein, Keith E; Mollah, Shamim; DiPersio, John F.
Afiliación
  • Xiang J; Division of Oncology, Department of Medicine.
  • Shi M; Department of Genetics.
  • Fiala MA; Institute for Informatics, and.
  • Gao F; Division of Oncology, Department of Medicine.
  • Rettig MP; Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO.
  • Uy GL; Division of Oncology, Department of Medicine.
  • Schroeder MA; Division of Oncology, Department of Medicine.
  • Weilbaecher KN; Division of Oncology, Department of Medicine.
  • Stockerl-Goldstein KE; Division of Oncology, Department of Medicine.
  • Mollah S; Division of Oncology, Department of Medicine.
  • DiPersio JF; Department of Genetics.
Blood Adv ; 6(7): 1991-2000, 2022 04 12.
Article en En | MEDLINE | ID: mdl-34555850
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Trasplante de Células Madre Hematopoyéticas / Compuestos Heterocíclicos Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Blood Adv Año: 2022 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Trasplante de Células Madre Hematopoyéticas / Compuestos Heterocíclicos Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Blood Adv Año: 2022 Tipo del documento: Article