@inproceedings{2711802191fc4afaa0ff009b0f1d5fba,
title = "Can solo practitioners survive in value-based healthcare? Validating a predicative model for ED utilization",
abstract = "The health industry will see increased implementations of value-based models. This study validates a predictive model for determining emergency room utilization. Data from 2991 records are used for the analysis. To validate the model we used Poisson and random forest models. The results indicate that patients with one of six chronic conditions, who missed scheduled appointments or had higher body mass indexes were more likely to utilize the emergency department.",
keywords = "Machine Learning, Resource Allocation, Value-based Healthcare",
author = "Pamella Howell and Elkin, \{Peter L.\}",
note = "Publisher Copyright: {\textcopyright} 2019 International Medical Informatics Association (IMIA) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).; 17th World Congress on Medical and Health Informatics, MEDINFO 2019 ; Conference date: 25-08-2019 Through 30-08-2019",
year = "2019",
month = aug,
day = "21",
doi = "10.3233/SHTI190595",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "1682--1683",
editor = "Brigitte Seroussi and Lucila Ohno-Machado and Lucila Ohno-Machado and Brigitte Seroussi",
booktitle = "MEDINFO 2019",
}