Abstract

Fatigue and poor sleep quality are the most common clinical complaints of people with diabetes mellitus (DM). These complaints are early signs of DM and are closely related to diabetic control and the presence of complications, which lead to a decline in the quality of life. Therefore, an accurate measurement of the relationship between fatigue, sleep status, and the complication of DM nephropathy could lead to a specific definition of fatigue and an appropriate medical treatment. This study recruited 307 people with Type 2 diabetes from two medical centers in Northern Taiwan through a questionnaire survey and a retrospective investigation of medical records. In an attempt to identify the related factors and accurately predict diabetic nephropathy, we applied hybrid research methods, integrated biostatistics, and feature selection methods in data mining and machine learning to compare and verify the results. Consequently, the results demonstrated that patients with diabetic nephropathy have a higher fatigue level and Charlson comorbidity index (CCI) score than without neuropathy, the presence of neuropathy leads to poor sleep quality, lower quality of life, and poor metabolism. Furthermore, by considering feature selection in selecting representative features or variables, we achieved consistence results with a support vector machine (SVM) classifier and merely ten representative factors and a prediction accuracy as high as 74% in predicting the presence of diabetic nephropathy.

Highlights

  • Diabetes mellitus (DM) is defined as a series of metabolic disorders induced by insulin insufficiency or the inability to use insulin

  • This study investigated the relationship between fatigue and sleep status, diabetes control, quality of life, and diabetic nephropathy in diabetic patients

  • The diabetic patients without renal disease tended to have a higher level of average weekly exercise and less fatigue than those without renal disease, and they showed significantly better results in both the role physical health (RP) and physical function (RF) domains

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Summary

Introduction

Diabetes mellitus (DM) is defined as a series of metabolic disorders induced by insulin insufficiency or the inability to use insulin. Insulin is a hormone secreted by the pancreas that brings glucose from the bloodstream into the cell body after we consume food. When our body is not able to use insulin, hyperglycemia (rise in the blood glucose level) occurs, causing diabetes and related complications. Diabetes and its comorbidities plague more than a quarter of the world’s population. Diabetic patients often experience fatigue and have sleep disorders. Given that fatigue and poor sleep quality are

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