Forecasting emergency department overcrowding: A deep learning framework

This publication has 41 references indexed in Scilit:

• Knowing what to expect, forecasting monthly emergency department visits: A time-series analysis
  International Emergency Nursing, 2014
• Modeling daily patient arrivals at Emergency Department and quantifying the relative importance of contributing variables using artificial neural network
  Decision Support Systems, 2013
• A simulation analysis of the impact of FAHP–MAUT triage algorithm on the Emergency Department performance measures
  Expert Systems with Applications, 2013
• Emergency Department Crowding: Time for Interventions and Policy Evaluations
  Emergency Medicine International, 2012
• Predicting emergency department admissions
  Emergency Medicine Journal, 2011
• Demand for hospital emergency departments: a conceptual understanding
  World Journal of Emergency Medicine, 2011
• Analysis of healthcare coverage: A data mining approach
  Expert Systems with Applications, 2009
• A multivariate time series approach to modeling and forecasting demand in the emergency department
  Journal of Biomedical Informatics, 2009
• Framewise phoneme classification with bidirectional LSTM and other neural network architectures
  Neural Networks, 2005
• Long Short-Term Memory
  Neural Computation, 1997