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Haematologica. 2018 Aug;103(8):e351-e355. doi: 10.3324/haematol.2018.190926. Epub 2018 Mar 22.

Automated decision tree to evaluate genetic abnormalities when determining prognostic risk in acute myeloid leukemia.

Author information

1
Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.
2
Howard Hughes Medical Institute, Portland, OR, USA.
3
Division of Hematology and Medical Oncology, Oregon Health & Science University, Portland, OR, USA.
4
Department of Cell, Developmental & Cancer Biology, Oregon Health and Science University, Portland, OR, USA.
5
Department of Cell, Developmental & Cancer Biology, Oregon Health and Science University, Portland, OR, USA edwadavi@ohsu.edu.
PMID:
29567769
PMCID:
PMC6068037
DOI:
10.3324/haematol.2018.190926
[Indexed for MEDLINE]
Free PMC Article

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