Prediction of Neutropenic Events in Chemotherapy Patients: A Machine Learning Approach.

Journal: JCO clinical cancer informatics
PMID: 34464160

Abstract

PURPOSE: Severe and febrile neutropenia present serious hazards to patients with cancer undergoing chemotherapy. We seek to develop a machine learning-based neutropenia prediction model that can be used to assess risk at the initiation of a chemotherapy cycle.

Authors

  • Holly Wiberg
    Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Peter Yu
    Hartford HealthCare, Hartford, CT.
  • Pat Montanaro
    Hartford HealthCare, Hartford, CT.
  • Jeff Mather
    Hartford HealthCare, Hartford, CT.
  • Suzi Birz
    Pediatrics, University of Chicago, Chicago, IL, USA.
  • Michelle Schneider
    Hartford HealthCare, Hartford, CT.
  • Dimitris Bertsimas
    Dimitris Bertsimas, Jack Dunn, Colin Pawlowski, John Silberholz, Alexander Weinstein, and Ying Daisy Zhuo, Massachusetts Institute of Technology, Cambridge; Eddy Chen, Massachusetts General Hospital Cancer Center; Harvard Medical School; Aymen A. Elfiky, Dana-Farber Cancer Institute; Brigham and Women's Hospital; Harvard Medical School, Boston, MA.

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