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Stochastic Analysis of Time to Carbohydrate Metabolic Disorder using Exponentiated Exponential Distribution

机译:使用指数分布的碳水化合物代谢紊乱时间的随机分析

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摘要

Diabetic mellitus is a chronic disease of pancreatic origin, characterized by insulin deficiency, subsequent in ability to utilize carbohydrates and excess glucose in the blood due to the secretion of less insulin in the pancreas the glucose level exceeds the threshold level of the human body and the carbohydrate metabolic disorder takes place. In theestimation of the expected time to carbohydrate metabolic disorder, there is an important role for the interval time between damages of the cells. Often expected inter damage times are decreasing order or increasing order forming exponentiated exponential distributions. In this paper the expected time to carbohydrate metabolic disorder its variance are derived with numerical example.
机译:糖尿病是一种胰腺起源的慢性疾病,其特征在于胰岛素缺乏,由于胰腺中胰岛素的分泌较少,因此其利用碳水化合物和血液中过量葡萄糖的能力随后使葡萄糖水平超过了人体的阈值水平。发生碳水化合物代谢紊乱。在估计碳水化合物代谢紊乱的预期时间中,细胞损伤之间的间隔时间具有重要作用。预期的内部损坏时间通常是递减的顺序或递增的顺序,以形成指数级的指数分布。本文通过数值算例推导了碳水化合物代谢紊乱的预期时间及其方差。

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