Machine learning to predict completion of treatment for pancreatic cancer.

Journal: Journal of surgical oncology
PMID: 39155666

Abstract

BACKGROUND: Chemotherapy enhances survival rates for pancreatic cancer (PC) patients postsurgery, yet less than 60% complete adjuvant therapy, with a smaller fraction undergoing neoadjuvant treatment. Our study aimed to predict which patients would complete pre- or postoperative chemotherapy through machine learning (ML).

Authors

  • Shamsher A Pasha
    Department of Surgery, Northwell Health, North Shore/Long Island Jewish, Manhasset, New York, USA.
  • Abdullah Khalid
    Department of Surgery, Northwell Health, North Shore/Long Island Jewish, Manhasset, New York, USA.
  • Todd Levy
    Department of Surgery, Northwell Health, North Shore/Long Island Jewish, Manhasset, New York, USA.
  • Lyudmyla Demyan
    Northwell Health North Shore/Long Island Jewish General Surgery, Manhasset, New York; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York.
  • Sarah Hartman
    Department of Surgery, Northwell Health, North Shore/Long Island Jewish, Manhasset, New York, USA.
  • Elliot Newman
    Department of Surgery, Northwell Health, Lenox Hill Hospital, New York City, New York, USA.
  • Matthew J Weiss
    Department of Surgery, Northwell Health, North Shore/Long Island Jewish, Manhasset, New York, USA.
  • Daniel A King
    Department of Surgery, Northwell Health, North Shore/Long Island Jewish, Manhasset, New York, USA.
  • Theodoros Zanos
    Department of Surgery, Northwell Health, North Shore/Long Island Jewish, Manhasset, New York, USA.
  • Marcovalerio Melis
    Department of Surgery, Northwell Health, Lenox Hill Hospital, New York City, New York, USA.

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