基于模型的极限学习机算法诊断糖尿病

M. Shanthi, R. Marimuthu, S. Shivapriya, R. Navaneethakrishnan
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引用次数: 8

摘要

糖尿病是一种由胰岛素分泌不足(1型糖尿病)或胰岛素活性受损(2型糖尿病)引起的血糖水平升高引起的疾病。超过90%患有这种疾病的人被诊断为2型糖尿病。糖尿病现在是失明、终末期肾衰竭、非创伤性肢体截肢、心脏病和中风的主要原因。近年来,由于2型糖尿病的高发病率,该病的预后和早期诊断变得越来越重要。本文对糖尿病的类型进行了研究,提出并开发了一种基于极限学习机(ELM)方法的2型糖尿病诊断模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnosis of Diabetes using an Extreme Learning Machine Algorithm based Model
Diabetes is a disorder caused by an increase in blood glucose levels due to insulin secretion deficiency (type 1 diabetes) or impaired insulin activity (type 2 diabetes). More than 90% of people with this condition are diagnosed with type 2 diabetes. Diabetes is now the leading cause of blindness, end-stage renal failure, non-traumatic limb amputations, heart disease, and stroke. Due to the high prevalence of type 2 diabetes in recent years, the prognosis and early diagnosis of the disease have gained much importance. In this paper a study on the types of diabetes is made and a model is proposed and developed for diagnosis of type 2 diabetes using Extreme Learning Machine (ELM) method.
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