Diabetes Classification Techniques: A Brief State-of-the-Art Literature Review

Agushaka, Jeffrey O.; Ezugwu, Absalom E.

doi:10.1007/978-3-030-61702-8_22

Cited by 3 publications

(1 citation statement)

References 61 publications

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“…The risk for cardiovascular death is approximately twice as high as compared to non-diabetic counterparts (Pickering et al, 2018). Additionally, people with diabetes are more likely to develop cataracts, erectile dysfunction, or cognitive impairment, such as Alzheimer's disease (Luc et al, 2019, Poretsky, 2010, Agushaka and Ezugwu, 2020. Diabetes mellitus is characterized by chronic hyperglycemia, which results in the generation of detrimental products known as AGEs (Korac et Yuan et al, 2019, Ito et al, 2019.…”

Section: Diabeticmentioning

confidence: 99%

Evaluation of Advanced Glycation End Products, Oxidative Stress and Antioxidants and their Relationship in Diabetic patients

2023

ZJPAS

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Objective: Diabetes Mellitus (DM) is a major public health problem in developed countries; which also plays a vital role in providing information about advanced glycation end products (AGEs) and these induce oxidative stress (OS). The aim of this study is to evaluate the AGEs, OS, antioxidant, and lipid profile parameters in sera of DM patients. Methods: The current study includes 82 subjects (50 patients with type II DM and 32 healthy subjects, men and women). Demographic factors and medication intake of every subject were obtained. The advanced glycation end products (AGEs), oxidative stress (OS), antioxidant, and lipid profile parameters were measured using a spectrometric method and ELISA test. Results:The present study elucidated that the serum levels of CML, CEL, Pyralline, 8-OHdG, and MDA were significantly increased in diabetic patients compared with the healthy group. The serum levels of GSH, NO, and GSH-Px were significantly decreased in patients with DM rather than in the healthy group. While the serum levels of CAT and SOD were non-significantly decreased in patients with DM. Conclusion: Meanwhile, the elevation of AGEs and OS are associated with DM patients. NO and CML could be potential biomarkers for DM.

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Section: Diabeticmentioning

confidence: 99%

Evaluation of Advanced Glycation End Products, Oxidative Stress and Antioxidants and their Relationship in Diabetic patients

2023

ZJPAS

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Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer

Agushaka

Ezugwu

Abualigah

2022

Neural Comput & Applic

203

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Evaluation of several initialization methods on arithmetic optimization algorithm performance

Agushaka

Ezugwu

2021

Journal of Intelligent Systems

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Arithmetic optimization algorithm (AOA) is one of the recently proposed population-based metaheuristic algorithms. The algorithmic design concept of the AOA is based on the distributive behavior of arithmetic operators, namely, multiplication (M), division (D), subtraction (S), and addition (A). Being a new metaheuristic algorithm, the need for a performance evaluation of AOA is significant to the global optimization research community and specifically to nature-inspired metaheuristic enthusiasts. This article aims to evaluate the influence of the algorithm control parameters, namely, population size and the number of iterations, on the performance of the newly proposed AOA. In addition, we also investigated and validated the influence of different initialization schemes available in the literature on the performance of the AOA. Experiments were conducted using different initialization scenarios and the first is where the population size is large and the number of iterations is low. The second scenario is when the number of iterations is high, and the population size is small. Finally, when the population size and the number of iterations are similar. The numerical results from the conducted experiments showed that AOA is sensitive to the population size and requires a large population size for optimal performance. Afterward, we initialized AOA with six initialization schemes, and their performances were tested on the classical functions and the functions defined in the CEC 2020 suite. The results were presented, and their implications were discussed. Our results showed that the performance of AOA could be influenced when the solution is initialized with schemes other than default random numbers. The Beta distribution outperformed the random number distribution in all cases for both the classical and CEC 2020 functions. The performance of uniform distribution, Rayleigh distribution, Latin hypercube sampling, and Sobol low discrepancy sequence are relatively competitive with the Random number. On the basis of our experiments’ results, we recommend that a solution size of 6,000, the number of iterations of 100, and initializing the solutions with Beta distribution will lead to AOA performing optimally for scenarios considered in our experiments.

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Diabetes Classification Techniques: A Brief State-of-the-Art Literature Review

Cited by 3 publications

References 61 publications

Evaluation of Advanced Glycation End Products, Oxidative Stress and Antioxidants and their Relationship in Diabetic patients

Evaluation of Advanced Glycation End Products, Oxidative Stress and Antioxidants and their Relationship in Diabetic patients

Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer

Evaluation of several initialization methods on arithmetic optimization algorithm performance

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