Machine learning algorithm as a prognostic tool for Epstein-Barr virus reactivation after haploidentical hematopoietic stem cell transplantation

Epstein-Barr virus (EBV) reactivation is one of the most important infections after hematopoietic stem cell transplantation (HSCT) using haplo-identical related donors (HID). We aimed to establish a comprehensive model with machine learning, which could predict EBV reactivation after HID HSCT with a...

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Detalles Bibliográficos
Autores principales: Fan, Shuang, Hong, Hao-Yang, Dong, Xin-Yu, Xu, Lan-Ping, Zhang, Xiao-Hui, Wang, Yu, Yan, Chen-Hua, Chen, Huan, Chen, Yu-Hong, Han, Wei, Wang, Feng-Rong, Wang, Jing-Zhi, Liu, Kai-Yan, Shen, Meng-Zhu, Huang, Xiao-Jun, Hong, Shen-Da, Mo, Xiao-Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891443/
https://www.ncbi.nlm.nih.gov/pubmed/36742189
http://dx.doi.org/10.1097/BS9.0000000000000143

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891443/
https://www.ncbi.nlm.nih.gov/pubmed/36742189
http://dx.doi.org/10.1097/BS9.0000000000000143

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