Stylios Chrysostomos S, Georgopoulos Voula C
Department of Informatics and Telecommunications Technology, Technological Educational Institute of Epirus, 47100 Artas, Greece.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:1174-7. doi: 10.1109/IEMBS.2010.5626239.
Medical Decision Support Systems can provide assistance in crucial clinical judgments, particularly for inexperienced medical professionals. Fuzzy Cognitive Maps (FCMs) is a soft computing technique for modeling complex systems following an approach similar to human reasoning and decision-making. FCMs successfully represent knowledge and human experience, introducing concepts to represent the essential elements and the cause and effect relationships among the concepts to model the behavior of any system. Medical Decision Systems are complex systems that can be decomposed to subsystems and elements, where many factors have to be taken into consideration that may be complementary, contradictory, and competitive; these factors influence each other and determine the overall clinical decision with varying degrees. Here a Medical Decision Support System based on an appropriate FCM architecture is proposed and developed, as well as a corresponding paradigm from obstetrics is described.
医学决策支持系统可以在关键的临床判断中提供帮助,尤其是对于缺乏经验的医学专业人员。模糊认知图(FCMs)是一种软计算技术,用于按照类似于人类推理和决策的方法对复杂系统进行建模。FCMs成功地表示知识和人类经验,引入概念来表示基本要素以及概念之间的因果关系,从而对任何系统的行为进行建模。医学决策系统是复杂系统,可以分解为子系统和元素,其中必须考虑许多可能互补、矛盾和竞争的因素;这些因素相互影响,并不同程度地决定整体临床决策。本文提出并开发了一种基于适当FCM架构的医学决策支持系统,并描述了一种来自产科的相应范例。