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Exploring the associations between Diabetes Mellitus and Diabetic Retinopathy: Prevention and Management by focus on Machine Learning Technique

By
Sirajudeen Ameerjohn ,
Sirajudeen Ameerjohn

VIT Bhopal University, School of Computing Science and Engineering, India

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Palaniappan Senthilnathan ,
Palaniappan Senthilnathan

Vellore Institute of Technology, School of Computer Science and Engineering, Vellore.

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Venkatachalam Ilayaraja ,
Venkatachalam Ilayaraja

Vellore Institute of Technology, School of Computer Science and Engineering, Vellore.

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Ginnela Gopichand ,
Ginnela Gopichand

Vellore Institute of Technology, School of Computer Science and Engineering, Vellore.

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Abstract

Introduction: Diabetes Mellitus, a disorder impacting insulin production and utilization, led to elevated blood sugar levels. Immune system assaults on insulin-producing pancreas cells caused Type 1 Diabetes Mellitus, while Type 2 Diabetes Mellitus affected glucose processing, predominantly in adults but also observed in children. Unmanaged diabetes resulted in varied health issues including heart disease, kidney damage, nerve impairment, and diabetic retinopathy, a major cause of adult blindness. Objective: To prevent diabetic retinopathy through glycemic control, achieved via management, lifestyle choices, screenings, treatments, education, and awareness. Machine learning techniques like transfer learning, ensemble learning, CNN-MNIST, and multiscale approaches showed promise in detection and diagnosis. Monitoring blood sugar and eye exams were vital for early retinopathy treatment. Result: DR risk is elevated in those with positive complications like nephropathy, heart disease, cerebrovascular disease, foot ulcers and HbA1C levels ≥6.8%. Retinal imaging aids diagnosis and monitoring of ocular diseases like DR, utilizing processed monochrome images for structural analysis. Method: involved observing NPDR, MPDR via eye exams, measuring glucose, visual acuity, and retinal thickness. Retinal imaging aided ocular disease diagnosis, utilizing processed images for analysis. Conclusion: Diabetes prevalence rose globally, projected to affect 800 million adults by 2050. High India rates emphasized healthcare need, especially in remote areas, addressing diabetic retinopathy and early symptom awareness.

How to Cite

1.
Ameerjohn S, Senthilnathan P, Ilayaraja V, Gopichand G. Exploring the associations between Diabetes Mellitus and Diabetic Retinopathy: Prevention and Management by focus on Machine Learning Technique. Salud, Ciencia y Tecnología [Internet]. 2023 Dec. 6 [cited 2024 Apr. 22];3:556. Available from: https://revista.saludcyt.ar/ojs/index.php/sct/article/view/556

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

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