Predicting Malignancy in Pediatric Thyroid Nodules: Early Experience With Machine Learning for Clinical Decision Support.

Journal: The Journal of clinical endocrinology and metabolism
Published Date: Nov 19, 2021

Abstract

OBJECTIVE: To develop a machine learning tool to integrate clinical data for the prediction of non-benign thyroid cytology and histology.

Authors

  • Lebohang Radebe
    Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Ontario, Canada.
  • Daniëlle C M van der Kaay
    Erasmus Medical Center - Sophia Children's Hospital, Rotterdam CB, the Netherlands.
  • Jonathan D Wasserman
    Division of Endocrinology, The Hospital for Sick Children, Toronto, Ontario, Canada.
  • Anna Goldenberg
    SickKids Research Institute, 686 Bay Street, Toronto, ON M5G 0A4, Canada; Department of Computer Science, University of Toronto, 40 St. George Street, Toronto, ON M5S 2E4, Canada. Electronic address: anna.goldenberg@utoronto.ca.

Keywords

External Resources

Popular Topics
Recent Journals