Enhanced forecasting of emergency department patient arrivals using feature engineering approach and machine learning.
Journal:
BMC medical informatics and decision making
PMID:
39696224
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 well as feature-engineered variables, to predict daily patient arrivals using datasets from eleven different EDs across three countries.