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Machine learning reveals chronic graft-versus-host disease phenotypes and stratifies survival after stem cell transplant for hematologic malignancies

The application of machine learning in medicine has been productive in multiple fields, but has not previously been applied to analyze the complexity of organ involvement by chronic graft-versus-host disease. Chronic graft-versus-host disease is classified by an overall composite score as mild, mode...

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Detalles Bibliográficos
Autores principales:	Gandelman, Jocelyn S., Byrne, Michael T., Mistry, Akshitkumar M., Polikowsky, Hannah G., Diggins, Kirsten E., Chen, Heidi, Lee, Stephanie J., Arora, Mukta, Cutler, Corey, Flowers, Mary, Pidala, Joseph, Irish, Jonathan M., Jagasia, Madan H.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Ferrata Storti Foundation 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6312024/ https://www.ncbi.nlm.nih.gov/pubmed/30237265 http://dx.doi.org/10.3324/haematol.2018.193441

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