基于模糊逻辑对人体观察到的体征进行诊断分析的正常程度

Y. Hata, O. Ishikawa, Syoji Kobashi, K. Kondo
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引用次数: 4

摘要

本文定义了人体正常状态,用于对人体所观察到的体征进行诊断分析。这种常态只是程度的问题。医生通常检查病人是正常还是异常。人体的诊断通常是通过观察人体的生物信号、放射图像、体表信息等来完成的。首先,给出了这些人体体征的信息粒度。在层次可定义性理论中定义了正态性。根据定义,介绍了一种正态度的计算方法。最后,给出了正态度的例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Degree of normality based on fuzzy logic for a diagnostic analysis of signs observed in a human body
This paper defines normality in human body for diagnostic analysis of signs observed in human body. The normality is a matter of degree. Physician usually examines whether a patient is either normal or abnormal. Diagnosis of human body is usually done by observing biosignals, radiological images, body surface information and others of human body. First, the information granularity of these signs of human body is shown. The normality is defined in the theory of hierarchical definability. According to the definition, a calculation method of the degree of normality is introduced. Finally, the examples of the degree of normality are shown.
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