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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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| Pubblicato in: | PLoS One |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8294525/ https://ncbi.nlm.nih.gov/pubmed/34288963 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0254976 |
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