Predicting Avoidable Emergency Department Visits Using the NHAMCS Dataset

Avoidable emergency department (ED) visits contribute increased costs to the healthcare system and lead to overcrowding that can limit capacity to treat patients. There has been little work to develop models from patient characteristics that can predict avoidable ED visits. Here we apply machine learning methods using the NHAMCS dataset to predict avoidable ED visits and identify patient character...