首页> 外文会议>Conference on Artificial Intelligence in Medicine(AIME 2005); 20050723-27; Aberdeen(GB) >Implicit Learning System for Teaching the Art of Acute Cardiac Infarction Diagnosis
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Implicit Learning System for Teaching the Art of Acute Cardiac Infarction Diagnosis

机译:内隐学习系统在急性心梗诊断学中的教学

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There are two types of knowledge - declarative (theoretical) and procedural (practical skills). While the former knowledge may be acquired by reading books, the latter requires long intensive practice. The majority of computer-aided learning systems teach declarative knowledge only. This paper presents basic ideas of building intellectual computer systems for teaching procedural expert knowledge, such as medical diagnostic skills. Two sub-problems are under consideration - the elicitation of experienced physician's decision rules and the construction of the computer system for teaching these rules. Such systems utilize the principle of implicit learning. The authors present the methodology of practical realization of these ideas in application of teaching the art of acute cardiac infarction diagnosis.
机译:知识有两种类型:陈述性(理论)和程序性(实践技能)。前者虽然可以通过阅读书籍获得知识,但后者需要长期的大量练习。大多数计算机辅助学习系统仅教授声明性知识。本文提出了构建智能计算机系统的基本思想,以用于教学过程性专家知识,例如医学诊断技能。正在考虑两个子问题-经验丰富的医师决策规则的启发和用于教授这些规则的计算机系统的构建。这样的系统利用内隐学习的原理。作者介绍了在实践急性心梗诊断技术中应用这些思想的实践方法。

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