Comparing an Artificial Neural Network to Logistic Regression for Predicting ED Visit Risk Among Patients With Cancer: A Population-Based Cohort Study.

Journal: Journal of pain and symptom management
Published Date: Jul 1, 2020

Abstract

CONTEXT: Prior work using symptom burden to predict emergency department (ED) visits among patients with cancer has used traditional statistical methods such as logistic regression (LR). Machine learning approaches for prediction, such as artificial neural networks (ANNs), are gaining attention but are yet to be commonly applied in practice.

Authors

  • Rinku Sutradhar
    Department of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada; ICES, Toronto, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada. Electronic address: rinku.sutradhar@ices.on.ca.
  • Lisa Barbera
    ICES, Toronto, Canada; Department of Oncology, Tom Baker Cancer Centre, University of Calgary, Calgary, Canada.

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