Uncertain Event Presentation and ECA Modeling in Clinical Pathway Variation
Available Online December 2016.
- https://doi.org/10.2991/iceeecs-16.2016.90How to use a DOI?
- Clinical Pathway; ECA; variation management.
- Clinical pathway computer modeling, implementation and control is an important way to enhance clinical pathway implementation effect and also a cardinal channel to achieve efficient medical services. In the process of the research above, find an effective way to manage the variation of clinical pathway is necessary. At present, the variation management mainly based on reasoning methods with predicate logic, its ability to handle uncertain event is lacking. This article discusses how to use fuzzy number to present the uncertain factor in clinical pathway variation event, and embed this presentation in ECA (Event-Condition-Action) model, namely UC-ECA. It's a theoretical model that can control the uncertain factor in reasoning. With this model, we can provide a more optimized reasoning system that can be imported into the already existing clinical pathway system, such as ontology knowledge system.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Runqi Cao PY - 2016/12 DA - 2016/12 TI - Uncertain Event Presentation and ECA Modeling in Clinical Pathway Variation BT - 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/iceeecs-16.2016.90 DO - https://doi.org/10.2991/iceeecs-16.2016.90 ID - Cao2016/12 ER -