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

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

BackgroundScoring systems developed for predicting survival after allogeneic hematopoietic cell transplantation (HCT) show suboptimal prediction power, and various factors affect posttransplantation outcomes. ObjectiveA prediction model using a machine learning–ba...

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Bibliographic Details
Main Authors: 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, Jimin Woo, Je-Hwan Lee
Format: Article
Language:English
Published: JMIR Publications 2022-03-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2022/3/e32313

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https://medinform.jmir.org/2022/3/e32313

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