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

BACKGROUND: Scoring systems developed for predicting survival after allogeneic hematopoietic cell transplantation (HCT) show suboptimal prediction power, and various factors affect posttransplantation outcomes. OBJECTIVE: A prediction model using a machine learning–based algorithm can be an alternat...

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Detalles Bibliográficos
Autores principales: Choi, Eun-Ji, Jun, Tae Joon, Park, Han-Seung, Lee, Jung-Hee, Lee, Kyoo-Hyung, Kim, Young-Hak, Lee, Young-Shin, Kang, Young-Ah, Jeon, Mijin, Kang, Hyeran, Woo, Jimin, Lee, Je-Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938832/
https://www.ncbi.nlm.nih.gov/pubmed/35254275
http://dx.doi.org/10.2196/32313

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938832/
https://www.ncbi.nlm.nih.gov/pubmed/35254275
http://dx.doi.org/10.2196/32313

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