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

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...

Full description

Bibliographic Details
Main Authors: Shuang Fan, Hao-Yang Hong, Xin-Yu Dong, Lan-Ping Xu, Xiao-Hui Zhang, Yu Wang, Chen-Hua Yan, Huan Chen, Yu-Hong Chen, Wei Han, Feng-Rong Wang, Jing-Zhi Wang, Kai-Yan Liu, Meng-Zhu Shen, Xiao-Jun Huang, Shen-Da Hong, Xiao-Dong Mo
Format: Article
Language:English
Published: Wolters Kluwer Health 2023-03-01
Series:Blood Science
Online Access:http://journals.lww.com/10.1097/BS9.0000000000000143

Internet

http://journals.lww.com/10.1097/BS9.0000000000000143

Similar Items