A convolutional neural network-based model that predicts acute graft-versus-host disease after allogeneic hematopoietic stem cell transplantation

BACKGROUND: Forecasting acute graft-versus-host disease (aGVHD) after allogeneic hematopoietic stem cell transplantation (HSCT) is highly challenging with conventional statistical techniques due to complex parameters and their interactions. The primary object of this study was to establish a convolu...

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Detalles Bibliográficos
Autores principales: Jo, Tomoyasu, Arai, Yasuyuki, Kanda, Junya, Kondo, Tadakazu, Ikegame, Kazuhiro, Uchida, Naoyuki, Doki, Noriko, Fukuda, Takahiro, Ozawa, Yukiyasu, Tanaka, Masatsugu, Ara, Takahide, Kuriyama, Takuro, Katayama, Yuta, Kawakita, Toshiro, Kanda, Yoshinobu, Onizuka, Makoto, Ichinohe, Tatsuo, Atsuta, Yoshiko, Terakura, Seitaro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10188562/
https://www.ncbi.nlm.nih.gov/pubmed/37193882
http://dx.doi.org/10.1038/s43856-023-00299-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10188562/
https://www.ncbi.nlm.nih.gov/pubmed/37193882
http://dx.doi.org/10.1038/s43856-023-00299-5

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