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Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments

机译:解释患者对治疗的异常反应的论证逻辑

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摘要

The EIRA system has proved to be successful in the detection of anomalous patient responses to treatments in the Intensive Care Unit (ICU). One weakness of EIRA is the lack of mechanisms to describe to the clinicians, rationales behind the anomalous detections. In this paper, we extend EIRA by providing it with an argumentation-based justification system that formalizes and communicates to the clinicians the reasons why a patient response is anomalous. The implemented justification system uses human-like argumentation techniques and is based on real dialogues between ICU clinicians.
机译:事实证明,EIRA系统可成功检测出患者对重症监护室(ICU)的治疗反应异常。 EIRA的缺点之一是缺乏向临床医生描述异常检测背后原因的机制。在本文中,我们通过为EIRA提供基于论证的辩护系统来扩展EIRA,该系统将患者反应异常的原因正式化并传达给临床医生。实施的辩护系统使用类似于人的论证技术,并且基于ICU临床医生之间的真实对话。

著录项

  • 来源
  • 会议地点 Bled(SI);Bled(SI)
  • 作者单位

    School of Informatics, University of Edinburgh, UK;

    Academic Unit of Anaesthesia, Pain, and Critical Care Medicine, School of Medicine,University of Glasgow, UK,Department of Computing Science, University of Aberdeen, UK,Department of Clinical Physics, University of Glasgow, UK;

    School of Informatics, University of Edinburgh, UK;

    Academic Unit of Anaesthesia, Pain, and Critical Care Medicine, School of Medicine,University of Glasgow, UK,Department of Computing Science, University of Aberdeen, UK;

    Academic Unit of Anaesthesia, Pain, and Critical Care Medicine, School of Medicine,University of Glasgow, UK;

    Academic Unit of Anaesthesia, Pain, and Critical Care Medicine, School of Medicine,University of Glasgow, UK;

    Academic Unit of Anaesthesia, Pain, and Critical Care Medicine, School of Medicine,University of Glasgow, UK;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人工智能理论;医用物理学;
  • 关键词

    knowledge-based expert systems; explanation; argumentation logic; ontology; intensive care unit;

    机译:基于知识的专家系统;说明;论证逻辑;本体论;重症监护室;

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