A machine learning framework supporting prospective clinical decisions applied to risk prediction in oncology

HIGHLIGHTS

  • who: Lorinda Coombs from the Published in partnership with Seoul National University Bundang Hospital have published the paper: A machine learning framework supporting prospective clinical decisions applied to risk prediction in oncology, in the Journal: (JOURNAL) of 20/Oct/2021
  • what: The overall objective of this paper is to put forth a general framework to evaluate and deploy an ML-based clinical tool that supports a clinician's independent assessment of patient risk for an adverse event by displaying medical information and predicted risk level using documented EHR-derived RWD. In using a logistic regression . . .

     

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