Machine Learning to Predict Early Death Despite Pancreaticoduodenectomy.

Journal: The Journal of surgical research
Published Date: Apr 26, 2025

Abstract

INTRODUCTION: About 25% of patients undergoing pancreaticoduodenectomy (PD) for right-sided pancreatic ductal adenocarcinoma (PDAC) die within 1 y of diagnosis. These patients carry all the risks of significant morbidity with no survival advantage when compared to nonsurgical options. We aimed to determine if machine learning models have superior accuracy to traditional regression models at predicting futile surgery in patients with PDAC.

Authors

  • Kaleem S Ahmed
    Division of Surgical Oncology, Department of Surgery, UW Carbone Cancer Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
  • Clayton T Marcinak
    Division of Surgical Oncology, Department of Surgery, UW Carbone Cancer Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
  • Sheriff M Issaka
    Division of Surgical Oncology, Department of Surgery, UW Carbone Cancer Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
  • Muhammad Maisam Ali
    Final Year MBBS Student, Aga Khan University and Medical College Karachi.
  • Syed Nabeel Zafar
    Division of Surgical Oncology, Department of Surgery, UW Carbone Cancer Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA. zafars@surgery.wisc.edu.

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