Predicting Long-term Survival After Allogeneic Hematopoietic Cell Transplantation in Patients With Hematologic Malignancies: Machine Learning-Based Model Development and Validation.

Eun-Ji Choi Tae Joon Jun Han-Seung Park Jung Hee Lee Kyoo Hyung Lee Young Hak Kim Young-Shin Lee Young-Ah Kang Mijin Jeon Hyeran Kang Ji Min Woo Je Hwan Lee

Published in: JMIR medical informatics (2022)

We developed a machine learning-based model for predicting long-term survival after allogeneic HCT in patients with hematologic malignancies. Our model provides a method for making decisions regarding patient and donor candidates or selecting transplantation-related resources, such as conditioning regimens.

Keyphrases

machine learning
stem cell transplantation
bone marrow
artificial intelligence
cell death
deep learning
low dose
cell therapy