Tsipouras Markos G, Karvounis Evaggelos C, Tzallas Alexandros T, Goletsis Yorgos, Fotiadis Dimitrios I, Adamopoulos Stamatis, Trivella Maria G
Biomedical Research Institute-FORTH, loannina, Greece.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:2206-9. doi: 10.1109/EMBC.2012.6346400.
The SensorART project focus on the management of heart failure (HF) patients which are treated with implantable ventricular assist devices (VADs). This work presents the way that crisp models are transformed into fuzzy in the weaning module, which is one of the core modules of the specialist's decision support system (DSS) in SensorART. The weaning module is a DSS that supports the medical expert on the weaning and remove VAD from the patient decision. Weaning module has been developed following a "mixture of experts" philosophy, with the experts being fuzzy knowledge-based models, automatically generated from initial crisp knowledge-based set of rules and criteria for weaning.
SensorART项目专注于使用植入式心室辅助装置（VAD）治疗的心力衰竭（HF）患者的管理。这项工作展示了在撤机模块中将清晰模型转换为模糊模型的方法，撤机模块是SensorART中专家决策支持系统（DSS）的核心模块之一。撤机模块是一个决策支持系统，在患者撤机和移除VAD的决策方面为医学专家提供支持。撤机模块是按照“专家混合”理念开发的，其中专家是基于模糊知识的模型，由用于撤机的初始清晰的基于知识的规则和标准自动生成。
