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[葡萄糖耐量试验的定量分析,基于模糊推理的反应]

[Quantitative analysis of glucose tolerance tests, responses using fuzzy inference].

作者信息

Arita S, Yoneda M, Hori Y

机构信息

Dept. of Mathematics, Kansai Medical Univ.

出版信息

Nihon Rinsho. 1996 Oct;54(10):2807-11.

PMID:8914449
Abstract

The diagnose of diabetes mellitus is generally made by the Glucose Tolerance Test. The data of this test is composed of the blood glucose level and insulin level with 75 g glucose loading dose. The criteria for the diagnosis of diabetes is proposed by WHO. With these criteria, one person whose value of Blood Glucose (BG) is 201 mg/dl is diagnosed as diabetes mellitus and another whose value of BG is 199 is as Impaired Glucose Tolerance. In this paper, we quantitatively analyze the dynamical responses of glucose tolerance tests and propose a new diagnostic system for diabetes using a fuzzy inference.

摘要

糖尿病的诊断通常通过葡萄糖耐量试验进行。该试验的数据由服用75克葡萄糖负荷剂量后的血糖水平和胰岛素水平组成。糖尿病的诊断标准由世界卫生组织提出。根据这些标准,血糖(BG)值为201毫克/分升的人被诊断为糖尿病,而BG值为199的人则被诊断为糖耐量受损。在本文中,我们对葡萄糖耐量试验的动态反应进行了定量分析,并提出了一种基于模糊推理的糖尿病诊断新系统。

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