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Application of Fuzzy Functions for Visual Presentation of Medical Data

机译:模糊函数在医学数据可视化表示中的应用

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摘要

While interpretation of medical data is very often an ambiguous process, computers usually display results of recommendations, provided by both human experts and computer algorithms, as concrete data. This study proposes a visual presentation of relative degrees of uncertainty along with “standard” concrete medical data. A medical parameter (mean arterial pressure) is dynamically evaluated during surgery for being too low or too high. Fuzzy membership functions are utilized to display degrees of deviation in the form of a clear and concise pie chart. Thus, in the Operating Room the anesthesiologist can be provided with an easy statistical assessment of uncertainty of existing recommendations.
机译:尽管医学数据的解释通常是一个模棱两可的过程,但计算机通常会将由人类专家和计算机算法提供的建议结果显示为具体数据。这项研究提出了相对不确定度的直观表示以及“标准”具体医学数据。在手术过程中会动态评估医学参数(平均动脉压)过低或过高。模糊隶属度函数用于以清晰简洁的饼图形式显示偏差程度。因此,在手术室中,可以为麻醉医师提供对现有建议的不确定性的简单统计评估。

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