Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques.

Journal: BMC medical informatics and decision making
Published Date:

Abstract

BACKGROUND: The proportion of Canadian youth seeking mental health support from an emergency department (ED) has risen in recent years. As EDs typically address urgent mental health crises, revisiting an ED may represent unmet mental health needs. Accurate ED revisit prediction could aid early intervention and ensure efficient healthcare resource allocation. We examine the potential increased accuracy and performance of graph neural network (GNN) machine learning models compared to recurrent neural network (RNN), and baseline conventional machine learning and regression models for predicting ED revisit in electronic health record (EHR) data.

Authors

  • Simran Saggu
    Department of Health Research Methodology, Evidence & Impact, McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4K1, Canada.
  • Hirad Daneshvar
    Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, Ontario, M5B 2K3, Canada.
  • Reza Samavi
    Department of Electrical and Computer Engineering, Toronto Metropolitan University, ON M5B 2K3, Canada.
  • Paulo Pires
    Department of Psychiatry & Behavioural Neurosciences, McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4K1, Canada.
  • Roberto B Sassi
    Department of Psychiatry, University of British Columbia, UBC Vancouver Campus, Vancouver, BC, V6T 2A1, Canada.
  • Thomas E Doyle
    Vector Institute, Toronto, ON M5G 1M1, Canada.
  • Judy Zhao
    McMaster Children's Hospital, Hamilton Health Sciences, 1200 Main St West, Hamilton, Ontario, L8N 3Z5, Canada.
  • Ahmad Mauluddin
    McMaster Children's Hospital, Hamilton Health Sciences, 1200 Main St West, Hamilton, Ontario, L8N 3Z5, Canada.
  • Laura Duncan
    Department of Psychiatry & Behavioural Neurosciences, McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4K1, Canada. duncanlj@mcmaster.ca.