A decision tree algorithm using machine learning to predict for 90-day postoperative mortality in stage IV ovarian cancer patients

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Published in:Gynecologic oncology Vol. 159; p. 150
Main Authors: Chan, J.K., Mysona, D.P., Klein, D.A., Chan, J.E., Kapp, D.S., Mann, A.K., Liao, C.I.
Format: Journal Article
Language:English
Published: Elsevier Inc 01.10.2020
Subjects:
Hematology, Oncology, and Palliative Medicine
Obstetrics and Gynecology
ISSN:0090-8258, 1095-6859
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Author Mysona, D.P.
Chan, J.K.
Mann, A.K.
Liao, C.I.
Klein, D.A.
Kapp, D.S.
Chan, J.E.
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  givenname: D.P.
  surname: Mysona
  fullname: Mysona, D.P.
  organization: University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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  givenname: D.A.
  surname: Klein
  fullname: Klein, D.A.
  organization: University of California, San Francisco, San Francisco, CA, USA
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  givenname: J.E.
  surname: Chan
  fullname: Chan, J.E.
  organization: Stanford University School of Medicine, Stanford, CA, USA
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  givenname: D.S.
  surname: Kapp
  fullname: Kapp, D.S.
  organization: Stanford University School of Medicine, Stanford, CA, USA
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  fullname: Mann, A.K.
  organization: Palo Alto Medical Foundation Research Institute, Palo Alto, CA, USA
– sequence: 7
  givenname: C.I.
  surname: Liao
  fullname: Liao, C.I.
  organization: Kaohsiung Veterans General Hospital, Kaohsiung City, Taiwan
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SubjectTerms Hematology, Oncology, and Palliative Medicine
Obstetrics and Gynecology
Title A decision tree algorithm using machine learning to predict for 90-day postoperative mortality in stage IV ovarian cancer patients
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