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Description

The aim of this study is to use an unsupervised learning on hospital encounter data to make clusters of emergency departments patients. We calculated the trajectory measurements and performed the clustering with ‘Traj’ R Packages. The result showed that we can distinguish cluster patterns and had statistically significance in trend, so we could use these results with triage system in emergency departments.

Learning Objective 1: After reading this poster, the learner should be better able to understand:

- How to represent hospital encounter trajectory;
- How to apply longitudinal encounter data to ‘Traj’ R Packages;

Authors:

Jaeyong Yu (Presenter)
SAIHST

Junsang Yoo, SAIHST
Ji yeong Soh, SAIHST
wonchul cha, SAIHST

Presentation Materials:

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