Machine learning to identify multigland disease in primary hyperparathyroidism.

Journal: The Journal of surgical research
Published Date: Nov 1, 2017

Abstract

BACKGROUND: 20%-25% of patients with primary hyperparathyroidism will have multigland disease (MGD). Preoperatative imaging can be inaccurate or unnecessary in MGD. Identification of MGD could direct the need for imaging and inform operative approach. The purpose of this study is to use machine learning (ML) methods to predict MGD.

Authors

  • Joseph R Imbus
    Department of Surgery, University of Wisconsin, Madison, Wisconsin. Electronic address: imbus@wisc.edu.
  • Reese W Randle
    Department of Surgery, University of Wisconsin, Madison, Wisconsin.
  • Susan C Pitt
    Department of Surgery, University of Wisconsin, Madison, Wisconsin.
  • Rebecca S Sippel
    Department of Surgery, University of Wisconsin, Madison, Wisconsin.
  • David F Schneider
    Section of Endocrine Surgery, Department of Surgery, University of Wisconsin, Madison, WI. Electronic address: schneiderd@surgery.wisc.edu.

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