A Machine Learning Model for Prediction of Amputation in Diabetics.

Journal: Journal of diabetes science and technology
PMID: 36476059

Abstract

BACKGROUND: Diabetic foot ulcer (DFU) and the resulting lower extremity amputation are associated with a poor survival prognosis. The objective of this study is to generate a model for predicting the probability of major amputation in hospitalized patients with DFU.

Authors

  • Stavros Stefanopoulos
    Department of Surgery, The University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA.
  • Qiong Qiu
    Department of Surgery, The University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA.
  • Gang Ren
    Department of Surgery, The University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA.
  • Ayman Ahmed
    Department of Surgery, The University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA.
  • Mohamed Osman
    Department of Surgery, The University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA.
  • F Charles Brunicardi
    Department of Surgery, The University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA.
  • Munier Nazzal
    Department of Surgery, The University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA.

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