Predicting Acute Graft-Versus-Host Disease Using Machine Learning and Longitudinal Vital Sign Data From Electronic Health Records

PURPOSE: Acute graft-versus-host disease (aGVHD) remains a significant complication of allogeneic hematopoietic cell transplantation (HCT) and limits its broader application. The ability to predict grade II to IV aGVHD could potentially mitigate morbidity and mortality. To date, researchers have foc...

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Detalles Bibliográficos
Autores principales: Tang, Shengpu, Chappell, Grant T., Mazzoli, Amanda, Tewari, Muneesh, Choi, Sung Won, Wiens, Jenna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Clinical Oncology 2020
Materias:
Original Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7049247/
https://www.ncbi.nlm.nih.gov/pubmed/32083957
http://dx.doi.org/10.1200/CCI.19.00105

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7049247/
https://www.ncbi.nlm.nih.gov/pubmed/32083957
http://dx.doi.org/10.1200/CCI.19.00105

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