Survival prognostic factors in patients with acute myeloid leukemia using machine learning techniques

This paper identifies prognosis factors for survival in patients with acute myeloid leukemia (AML) using machine learning techniques. We have integrated machine learning with feature selection methods and have compared their performances to identify the most suitable factors in assessing the surviva...

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Detalles Bibliográficos
Autores principales: Karami, Keyvan, Akbari, Mahboubeh, Moradi, Mohammad-Taher, Soleymani, Bijan, Fallahi, Hossein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294525/
https://www.ncbi.nlm.nih.gov/pubmed/34288963
http://dx.doi.org/10.1371/journal.pone.0254976

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294525/
https://www.ncbi.nlm.nih.gov/pubmed/34288963
http://dx.doi.org/10.1371/journal.pone.0254976

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