Forecasting Pediatric Trauma Volumes: Insights From a Retrospective Study Using Machine Learning.
Journal:
The Journal of surgical research
PMID:
39742656
Abstract
INTRODUCTION: Rising pediatric firearm-related fatalities in the United States strain Trauma Centers. Predicting trauma volume could improve resource management and preparedness, particularly if daily forecasts are achievable. The aim of the study is to evaluate various machine learning models' accuracy on monthly, weekly, and daily data.