American College of Surgeons survival calculator for biliary tract cancers: using machine learning to individualize predictions.

Journal: Surgery
Published Date:

Abstract

BACKGROUND: Although cancer prognosis is most commonly estimated by tumor stage, survival is multifactorial. Our objective was to develop an American College of Surgeons "Biliary Tract Cancer Survival Calculator" prototype using machine learning to generate personalized survival estimates based on patient, tumor, and treatment factors.

Authors

  • Lauren M Janczewski
    American College of Surgeons Cancer Programs, Chicago, IL; Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL. Electronic address: https://www.twitter.com/LJanczewskiMD.
  • Joseph Cotler
    American College of Surgeons Cancer Programs, Chicago, IL.
  • Xuan Zhu
    Language Computing Lab, Samsung R&D Institute of China - Beijing (SRC-B), Beijing, China.
  • Bryan Palis
    American College of Surgeons Cancer Programs, Chicago, IL.
  • Kelley Chan
    American College of Surgeons Cancer Programs, Chicago, IL.
  • Ryan P Merkow
    Department of Surgery, University of Chicago Pritzker School of Medicine, Chicago, IL.
  • Elizabeth B Habermann
    Department of Health Sciences Research, Rochester MN.
  • Ronald J Weigel
    American College of Surgeons Cancer Programs, Chicago, IL; Department of Surgery, University of Iowa, Iowa City, IA.
  • Judy C Boughey
    All authors: Mayo Clinic, Rochester, MN.