Predictive analysis in healthcare: Emergency wait time prediction

9Citations
Citations of this article
34Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Emergency departments are an important area of a hospital, being the major entry point to the healthcare system. One of the most important issues regarding patient experience are the emergency department waiting times. In order to help hospitals improving their patient experience, the authors will perform a study where the Random Forest algorithm will be applied to predict emergency department waiting times. Using data from a Portuguese hospital from 2013 to 2017, the authors discretized the emergency waiting time in 5 different categories: “Really Low”, “Low”, “Average”, “High”, “Really High”. Plus, the authors considered as waiting time, the time from triage to observation. The authors expect to correctly evaluate the proposed classification algorithm efficiency and accuracy in order to be able to conclude if it is valuable when trying to predict ED waiting times.

Cite

CITATION STYLE

APA

Gonçalves, F., Pereira, R., Ferreira, J., Vasconcelos, J. B., Melo, F., & Velez, I. (2019). Predictive analysis in healthcare: Emergency wait time prediction. In Advances in Intelligent Systems and Computing (Vol. 806, pp. 138–145). Springer Verlag. https://doi.org/10.1007/978-3-030-01746-0_16

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free