Using a machine learning algorithm to predict acute graft-versus-host disease following allogeneic transplantation

Acute graft-versus-host disease (aGVHD) is 1 of the critical complications that often occurs following allogeneic hematopoietic stem cell transplantation (HSCT). Thus far, various types of prediction scores have been created using statistical calculations. The primary objective of this study was to...

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Detalhes bibliográficos
Publicado no:Blood Adv
Main Authors: Arai, Yasuyuki, Kondo, Tadakazu, Fuse, Kyoko, Shibasaki, Yasuhiko, Masuko, Masayoshi, Sugita, Junichi, Teshima, Takanori, Uchida, Naoyuki, Fukuda, Takahiro, Kakihana, Kazuhiko, Ozawa, Yukiyasu, Eto, Tetsuya, Tanaka, Masatsugu, Ikegame, Kazuhiro, Mori, Takehiko, Iwato, Koji, Ichinohe, Tatsuo, Kanda, Yoshinobu, Atsuta, Yoshiko
Formato: Artigo
Idioma:Inglês
Publicado em: American Society of Hematology 2019
Assuntos:
Transplantation
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6880900/
https://ncbi.nlm.nih.gov/pubmed/31751471
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1182/bloodadvances.2019000934
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