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

Tomoyasu JoYasuyuki AraiJunya KandaTadakazu KondoKazuhiro IkegameNaoyuki UchidaKazuteru OhashiTakahiro FukudaYukiyasu OzawaMasatsugu TanakaTakahide AraTakuro KuriyamaYuta KatayamaToshiro KawakitaYoshinobu KandaMakoto OnizukaTatsuo IchinoheYoshiko Atsuta Seitaro Terakura

Published in: Communications medicine (2023)

Our results suggest that CNN-based prediction provides a faithful prediction model for aGVHD, and can serve as a valuable tool for decision-making in clinical practice.

Keyphrases

convolutional neural network
allogeneic hematopoietic stem cell transplantation
clinical practice
acute myeloid leukemia
deep learning
acute lymphoblastic leukemia
liver failure
respiratory failure
drug induced
aortic dissection
mechanical ventilation