Deciphering Pentraxin-3 and Interleukin-18: Leveraging Copious Section Algorithm for Classification in Early Detection and Severity Prognosis of Diabetic Foot Ulcers

Authors

  • Divya.G, K. Sasi Kala Rani , G.Vijaya, G.Sathish Kumar, Ramesh Chandran

Keywords:

Interleukin-18, Pentraxin-3(PTX-3), Diabetic Foot Ulcer and Copious section algorithm

Abstract

In the Copious section algorithm we have  classified into seven protocols such as Diabetic Forecast, Diabetic Synergetic Monitor, Diabetic Cardiac Symmetry ,Diabetic Hepa Profiler, Diabetic Life Pulse Analytics, and Diabetic Nephrite Profiler used to find diabetic foot ulcer wound healing percentage rate and also to compare the levels of Interleukin-18 (IL-18) and Pentraxin-3 (PTX-3) in separately with type 2 diabetes mellitus (T2DM) with or without foot ulcers (FUs) and also Its elevated levels have been reported in the blood of patients .This algorithm detect other physical issues which are associated and not associated to DFU(Diabetic Foot Ulcer).This algorithm acts as over all automated support system to patient .

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References

G. S. Birkhead, M. Klompas, and N. R. Shah, ‘‘Uses of electronic health records for public health surveillance to advance public health,’’ Annu. Rev. Public Health, vol. 36, no. 1, pp. 345–359, Mar. 2015.

L. Kwak and H. Bai, ‘‘The role of federated learning models in medical imaging,’’ Radiol.,Artif. Intell., vol. 5, no. 3, May 2023, Art. no. e230136

K. Bhuyan, "Identification of socioeconomic variables responsible for diabetic heart disease among Bangladeshi adults", ARC J. Diabetes Endocrinol., vol. 5, no. 2, pp. 1-8, 2019, [online] Available: https://www.arcjournals.org/pdfs/ajde/v5-i2/1.pdf.

M. Kerr, G. Rayman and W. J. Jeffcoate, "Cost of diabetic foot disease to the national health service in England", Diabetic Med., vol. 31, no. 12, pp. 1498-1504, Dec. 2014.

L. A. Lavery, K. R. Higgins, D. R. Lanctot, G. P. Constantinides, R. G. Zamorano, D. G. Armstrong, et al., "Home monitoring of foot skin temperatures to prevent ulceration", Diabetes Care, vol. 27, no. 11, pp. 2642-2647, Nov. 2004.

Diabetic foot ulcer: A comprehensive review of pathophysiology and management modalities Joel M Raja, Miguel A Maturana, Sharif Kayali, Amir Khouzam, NephertitiEfeovbokhan Raja JM, Maturana MA, Kayali S, Khouzam A, Efeovbokhan N. Diabetic foot ulcer: A comprehensive review of pathophysiology and management modalities. World J Clin Cases 2023; 11(8): 1684-1693

The Effects of Resistance Exercise Training on Skeletal Muscle Metabolism and Insulin Resistance Development in Female Rodents with Type 1 Diabetes Mitchell J. Sammut,1David P. McBey,1Amit P. Sayal,1and C. W. James Melling.

Diabetic Foot Infections: Current Diagnosis and Treatment Authors: The Journal of Diabetic Foot Complications, 2012; Volume 4, Issue 2, No. 1, Pages 26-45 © All rights reserved. JJ Mendes 1,2 J Neves 3.

An Overview of Diabetic Foot Ulcers and Associated Problems with Special Emphasis on Treatments with Antimicrobials by Mirza ShahedBaig 1,Ahmadi Banu 2,Mehrukh Zehravi 3,Ritesh Rana 4,Sushil S. Burle 5,Sharuk L. Khan .

Aynalem, S.B.; Zeleke, A.J. Prevalence of Diabetes Mellitus and Its Risk Factors among Individuals Aged 15 Years and above in Mizan-Aman Town, Southwest Ethiopia, 2016: A Cross Sectional Study. Int. J. Endocrinol. 2018, 2018, 9317987.

Christina Magneta, S., Sundar, C., Thanabal, M.S., “Lung Lobe Segmentation and Feature Extraction-Based Hierarchical Attention Network for COVID-19 Prediction from Chest X-Ray Images”, Computer Journal, Vol. 66 No. 2, pp. 508-522, 2023.

Anand, R., Khan, B., Nassa, V.K., Pandey, D., Dhabliya, D., Pandey, B.K., Dadheech, P, “Hybrid convolutional neural network (CNN) for Kennedy Space Center hyperspectral image”, Aerospace Systems,Vol. 6, No. 1, pp. 71-78, 2023.

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Published

24.03.2024

How to Cite

K. Sasi Kala Rani , G.Vijaya, G.Sathish Kumar, Ramesh Chandran , D. . (2024). Deciphering Pentraxin-3 and Interleukin-18: Leveraging Copious Section Algorithm for Classification in Early Detection and Severity Prognosis of Diabetic Foot Ulcers. International Journal of Intelligent Systems and Applications in Engineering, 12(3), 2182–2187. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5687

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Research Article