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

Kevin Watanabe-Smith; Brian J. Druker; Jeffrey W. Tyner; David K. Edwards

doi:10.3324/haematol.2018.190926

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

Kevin Watanabe-Smith, Brian J. Druker, Jeffrey W. Tyner, David K. Edwards

Research output: Contribution to journal › Letter › peer-review

Original language	English (US)
Pages (from-to)	e351-e355
Journal	Haematologica
Volume	103
Issue number	8
DOIs	https://doi.org/10.3324/haematol.2018.190926
State	Published - Jul 31 2018

ASJC Scopus subject areas

Hematology

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10.3324/haematol.2018.190926

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@article{81dff4d905434acd80f9ba71cf068c59,

title = "Automated decision tree to evaluate genetic abnormalities when determining prognostic risk in acute myeloid leukemia",

author = "Kevin Watanabe-Smith and Druker, {Brian J.} and Tyner, {Jeffrey W.} and Edwards, {David K.}",

note = "Funding Information: BJD received funding support as an Howard Hughes Medical Institute Investigator. This material is based upon work supported by the Leukemia & Lymphoma Society - SCOR7005-11 (BJD) and Beat AML (BJD and JWT) - and by the National Science Foundation Graduate Research Fellowship Program (DGE-1448072; DKEV). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Funding Information: Funding: BJD received funding support as an Howard Hughes Medical Institute Investigator. This material is based upon work supported by the Leukemia & Lymphoma Society - SCOR 7005-11 (BJD) and Beat AML (BJD and JWT) - and by the National Science Foundation Graduate Research Fellowship Program (DGE-1448072; DKEV). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Correspondence: [email protected] doi:10.3324/haematol.2018.190926 Information on authorship, contributions, and financial & other disclosures was provided by the authors and is available with the online version of this article at www.haematologica.org.",

year = "2018",

month = jul,

day = "31",

doi = "10.3324/haematol.2018.190926",

language = "English (US)",

volume = "103",

pages = "e351--e355",

journal = "Haematologica",

issn = "0390-6078",

publisher = "Ferrata Storti Foundation",

number = "8",

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TY - JOUR

T1 - Automated decision tree to evaluate genetic abnormalities when determining prognostic risk in acute myeloid leukemia

AU - Watanabe-Smith, Kevin

AU - Druker, Brian J.

AU - Tyner, Jeffrey W.

AU - Edwards, David K.

N1 - Funding Information: BJD received funding support as an Howard Hughes Medical Institute Investigator. This material is based upon work supported by the Leukemia & Lymphoma Society - SCOR7005-11 (BJD) and Beat AML (BJD and JWT) - and by the National Science Foundation Graduate Research Fellowship Program (DGE-1448072; DKEV). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Funding Information: Funding: BJD received funding support as an Howard Hughes Medical Institute Investigator. This material is based upon work supported by the Leukemia & Lymphoma Society - SCOR 7005-11 (BJD) and Beat AML (BJD and JWT) - and by the National Science Foundation Graduate Research Fellowship Program (DGE-1448072; DKEV). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Correspondence: [email protected] doi:10.3324/haematol.2018.190926 Information on authorship, contributions, and financial & other disclosures was provided by the authors and is available with the online version of this article at www.haematologica.org.

PY - 2018/7/31

Y1 - 2018/7/31

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DO - 10.3324/haematol.2018.190926

M3 - Letter

C2 - 29567769

AN - SCOPUS:85051134546

SN - 0390-6078

VL - 103

SP - e351-e355

JO - Haematologica

JF - Haematologica

IS - 8

ER -

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

ASJC Scopus subject areas

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