Talks and Poster Presentations (with Proceedings-Entry):
M. Götzinger, N. TaheriNejad, A. Rahmani, P. Liljeberg, A. Jantsch, H. Tenhunen:
"Enhancing the Early Warning Score System Using Data Confidence";
Talk: International Conference on Wireless Mobile Communication and Healthcare (MobiHealth),
Milan;
2016-11-14
- 2016-11-16; in: "6th EAI International Conference on Wireless Mobile Communication and Healthcare",
Milan
(2016),
8 pages.
English abstract:
Early Warning Score (EWS) systems are utilized in hospitals by health-care professionals to interpret vital signals of patients. These scores are used to measure and predict amelioration or deterioration of patients´ health status to intervene in an appropriate manner when needed. Based on an earlier work presenting an automated Internet-of-Things based EWS system, we propose an architecture to analyze and enhance data reliability and consistency. In particular, we present a hierarchical agent-based data confidence evaluation system to detect erroneous or irrelevant vital signal measurements. In our extensive experiments, we demonstrate how our system offers a more robust EWS monitoring system.
Keywords:
Early Warning Score, Self-awareness, Data Confidence, Consistency, Plausibility, Hierarchical Agent-Based System
Created from the Publication Database of the Vienna University of Technology.