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Relevance of Glucose Level Variation Trend in Diabetic Patient's Blood and Onset of Diabetic Retinopathy Problems

机译:糖尿病患者血液中葡萄糖水平变异趋势的相关性及糖尿病视网膜病问题的发病

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Majority of the world population is affected with diabetes. Retina of eye is found to involve in one third to one fourth of diabetics as a complication called diabetic retinopathy which is one of the most common causes of blindness in diabetes. It has been found that duration of diabetes with characteristic rise and fall is major cause for damage to retina. Various spans of remarkably elevated blood sugar levels often results into changes in perfusion of retinal capillaries bed which leads to onset of diabetic retinopathy. Many associated physiological dynamics have revealed the various modes of clustering of events affecting this condition. Computer simulation based methodologies have been used to solve various issues primarily related to bio-medical complications. Our effort in this work is to check the significant pattern of glucose level dynamics with some data trend responsible for causing diabetic retinopathy condition. The characteristic span profile of the dynamics is found to be held responsible for critical conditions. The obtained data set is trained meanwhile using neural network to predict the possibility of occurrence of such situation with relevant statistical inferences.
机译:世界上大多数人口受到糖尿病的影响。发现视网膜的视网膜涉及糖尿病患者的三分之一,作为糖尿病视网膜病变的并发症,这是糖尿病中失明的最常见原因之一。已经发现,具有特征升高和下降的糖尿病持续时间是视网膜损害的主要原因。血糖水平显着升高的各种跨度通常导致视网膜毛细血管床的灌注变化,这导致糖尿病视网膜病变的发作。许多相关的生理动态揭示了影响这种情况的事件的各种模式。基于计算机模拟的方法已经用于解决主要与生物医学并发症相关的各种问题。我们在这项工作中的努力是检查葡萄糖水平动态的显着模式,其一些数据趋势负责导致糖尿病视网膜病变。发现动态的特征跨度轮廓对临界条件负责。使用神经网络,所获得的数据集接受训练以预测具有相关统计推论的这种情况的发生的可能性。

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