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用于教育的基于模糊认知图场景的医学决策支持系统。

Fuzzy Cognitive Map scenario-based medical decision support systems for education.

作者信息

Georgopoulos Voula C, Chouliara Spyridoula, Stylios Chrysostomos D

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:1813-6. doi: 10.1109/EMBC.2014.6943961.

Abstract

Soft Computing (SC) techniques are based on exploiting human knowledge and experience and they are extremely useful to model any complex decision making procedure. Thus, they have a key role in the development of Medical Decision Support Systems (MDSS). The soft computing methodology of Fuzzy Cognitive Maps has successfully been used to represent human reasoning and to infer conclusions and decisions in a human-like way and thus, FCM-MDSSs have been developed. Such systems are able to assist in critical decision-making, support diagnosis procedures and consult medical professionals. Here a new methodology is introduced to expand the utilization of FCM-MDSS for learning and educational purposes using a scenario-based learning (SBL) approach. This is particularly important in medical education since it allows future medical professionals to safely explore extensive "what-if" scenarios in case studies and prepare for dealing with critical adverse events.

摘要

软计算(SC)技术基于利用人类知识和经验,对于模拟任何复杂的决策过程极为有用。因此,它们在医学决策支持系统(MDSS)的开发中起着关键作用。模糊认知图的软计算方法已成功用于表示人类推理,并以类似人类的方式推断结论和决策,因此,已经开发了模糊认知图 - 医学决策支持系统(FCM - MDSS)。此类系统能够协助进行关键决策、支持诊断程序并为医学专业人员提供咨询。本文引入了一种新方法,通过基于场景的学习(SBL)方法来扩大FCM - MDSS在学习和教育目的方面的应用。这在医学教育中尤为重要,因为它使未来的医学专业人员能够在案例研究中安全地探索广泛的“如果……会怎样”的情景,并为应对关键不良事件做好准备。

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