Enhanced forecasting of emergency department patient arrivals using feature engineering approach and machine learning

Enhanced forecasting of emergency department patient arrivals using feature engineering approach and machine learning

Abstract Background Emergency department (ED) overcrowding is an important problem in many countries. Accurate predictions of ED patient arrivals can help management to better allocate staff and medical resources. In this study, we investigate the use of calendar and meteorological predictors, as we...

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Bibliographic Details
Main Authors: Bruno Matos Porto, Flavio Sanson Fogliatto
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Emergency department
Patient arrivals
Feature engineering
Machine learning algorithms
Patient visits forecast
Time series forecasting
Online Access:https://doi.org/10.1186/s12911-024-02788-6
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