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Type 2 Diabetes - Springer Nature

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Last Updated: 09 November 2022

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An Improved Convolutional Neural Network for Classification of Type-2 Diabetes Mellitus

Non-insulin-dependent diabetes, which accounts for 90% of the total population of diabetic patients, accounts for 90 percent of the total population of diabetic patients. For the classification of Type-2 diabetes mellitus, this work presents an enhanced Convolutional Neural Network and Functional Link Convolutional Neural Network. The proposed algorithm is also comparable to other Machine Learning approaches, such as Logistic Regression, Support Vector Classification, K-Nearest Neighbors, Random Forest, Naive Bayes, Decision Tree, XG Boost.

Source link: https://doi.org/10.1007/978-981-19-2065-3_45


Measures of Endothelial Function in Type 2 Diabetes: A Focus on Non-circulatory Methods of Measurement

Endothelial dysfunction in type 2 diabetes has been attributed to the onset of micro- and macrovascular disorders. This chapter explores noncirculatory methods of measuring endothelial dysfunction, including venous occlusion plethysmography, flow-mediated dilatation, peripheral artery tonometry, aortic pulse wave velocity, and laser Doppler flowmetry. Flow-mediated dilatation and pulse wave velocity are now two of the most commonly used and validated methods for cardiovascular risk stratification in patients with T2DM, as they relate to glycemic control and cardiovascular risk factors.

Source link: https://doi.org/10.1007/978-3-031-08014-2_67


Common Adverse Events Following COVID-19 Vaccination in Patients with Type 2 Diabetes

Vaccines have emerged as the most effective way to shield people from COVID-19 in the COVID-19 pandemic. However, there is a small study of adverse events for COVID-19 vaccines in people with type 2 diabetes. Using the Vaccine Adverse Event Reporting System, we obtained data for common adverse events related to the COVID-19 vaccines. We used 6,829 people with type 2 diabetes and 20,487 healthy control groups after a 1:3 propensity score comparison. Both mRNA vaccines were significantly lower than those before one viral vector vaccine, and the risk among males was lower than among females, as well as the risk among males was much lower than those with no mRNA vaccines. After both mRNA vaccines and in males, the risk of common adverse events among people with type 2 diabetes was low.

Source link: https://doi.org/10.1007/978-3-031-16485-9_13


Markers of Bacterial Translocation in Type 2 Diabetes Mellitus

Diabetes mellitus, type 2 diabetes mellitus, is a multifactorial metabolic disorder. Changes in the study of metabolic disorders including type 2 diabetes have helped to increase the body of evidence connecting the gut microbiome to host metabolism. The emergence of the term of 'u201d's gut microbiome'u201d and metabolic endotoxemia has resulted in the creation of the concept of u201d's gut microbiome,'u201d's dysbiosis (u201d) and metabolic endotoxemia. In diabetics with elevated lipopolysaccharide or lipopolysaccharide binding protein levels than in healthy controls, as shown in previous studies. Translocation of bacteria and their products through the fractured gut barrier increased the flow of markers that could be attributed to increased intestinal permeability.

Source link: https://doi.org/10.1007/978-3-031-08014-2_49


Type 2 Diabetes Prediction Using Machine Learning and Validation Using Weka Tool

People looking for a healthy lifestyle and therapy will be able to include a healthy lifestyle and therapy into their plans, according to Accurate and timely forecasts. Various machine learning techniques are used to estimate the danger of type 2 diabetes. Weka is a data mining software package that includes many machine learning algorithms. We found that logistic regression had the highest accuracy of all the methods tested in this review. After the model has been trained to a high degree of accuracy, individuals can self-evaluate their diabetes risk.

Source link: https://doi.org/10.1007/978-981-19-3679-1_23


Epigenetics and 5-Hydroxymethylcytosines as a Biomarker in Type 2 Diabetes

Type 2 diabetes is a lifelong condition that impairs the body's normal function of regulating and using sugar for energy. Biomarker discovery targeting not only 5-methylcytosines, the most investigated epigenetic device to date, but also novel epigenetic modifications, such as 5-hydroxymenthylcytosines, has been made possible by epigenetic advances over the past 20 years. Earlier studies have implicated 5hmC in several disorders including cancer and cardiovascular diseases, as well as their biomarker value by using circulating cell-free DNA derived from plasma. Considering the availability of inexpensive epigenetic devices in clinical use, we narrowed our focus in this chapter on the most recent advances in finding 5hmC biomarkers for diabetic disorders using a liquid biopsy-based strategy. These technological advancements lay the foundation for integrating novel epigenetic biomarkers in T2D patients' care in order to improve clinical outcomes.

Source link: https://doi.org/10.1007/978-3-031-08014-2_26


Serum Paraoxonase 1 as a Biomarker: Features and Applications in Type 2 Diabetes Mellitus

Type 2 diabetes mellitus is a rare medical and endocrine disorder. Changes in enzyme activity as a result of PON1 polymorphism have been attributed to T2DM's origins and progression. PON1 levels have been shown to decline not only in T2DM but also in several disorders, such as Alzheimer's and obesity, but also in Alzheimer's and obesity. Both molecular mechanisms and clinical studies point to a strong correlation between PON1 and T2DM.

Source link: https://doi.org/10.1007/978-3-031-08014-2_22


A Systematic Review on Usability of mHealth Applications on Type 2 Diabetes Mellitus

Common health problems can be solved at a fingertip by the numerous mHealth applications built into smart phones. The goal of this report is to identify specific characteristics of mHealth applications that could help greatly in determining the usability of mHealth products and investigating the effects of various usability assessment techniques used to analyze mHealth products used to diagnose Type 2 diabetes mellitus.

Source link: https://doi.org/10.1007/978-981-19-1412-6_10


Proteomic Biomarkers: What They Are and How Type 2 Diabetes Mellitus Has Similarities with Other Diseases

Type 2 diabetes mellitus is the most common type of diabetes, characterized by insulin resistance and inadequate insulin release. As a result, proteomics could be considered as the most useful data to model a biological system and to introduce new candidate biomarkers. This chapter continues to address proteomic studies in order to better describe the T2DM profile, as well as the proteins that are commonly found in T2DM, and other disorders.

Source link: https://doi.org/10.1007/978-3-031-08014-2_16

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions