Man vs. machine: Predicting hospital bed demand from an emergency department.

Filipe Rissieri Lucini Mateus Augusto Dos Reis Giovani José Caetano da SilveiraFlavio Sanson FogliattoMichel José AnzanelloGiordanna Guerra AndrioliRafael NicolaidisRafael Coimbra Ferreira BeltrameJeruza Lavanholi NeyeloffBeatriz D'Agord Schaan

Published in: PloS one (2020)

Our data indicated that the system could predict patient admission or discharge states with 80% accuracy, which was similar the performance of novice and experienced physicians. These results suggested that the algorithm could operate as an autonomous and independent system to complete this task.

Keyphrases

emergency department
deep learning
primary care
adverse drug
case report
electronic health record
machine learning
healthcare
acute care
neural network