International Journal of Mathematics Trends and Technology
Volume 51 | Number 3 | Year 2017 | Article Id. IJMTT-V51P526 | DOI : https://doi.org/10.14445/22315373/IJMTT-V51P526
Diabetic peripheral neuropathy (DPN) is the most common complication of diabetes mellitus, and can be related to Type1 as well as Type2 diabetes. This neurological impairment is not known or understood, hence the treatments are still empirical and not efficient as stated by the physicians. Logistic modelling of clinical DPN offers a power tool in order to understand diabetes-mediated peripheral nerve injury. Logistic modelling clinical relevance has two draw backs – Firstly the prevalence of Type2 as compared to Type1 in adults and Secondly the lack of morphological changes in peripheral nerves. Many studies have contributed to a better pathophysiological and pharmacological understanding of the DPN.
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P. Sankar, T. Subhramaniyan, M. S. Paulraj, J. Jayanthi, M. G. Ragunathan, "Diabetic Neuropathy Prediction by Logistic Model," International Journal of Mathematics Trends and Technology (IJMTT), vol. 51, no. 3, pp. 197-203, 2017. Crossref, https://doi.org/10.14445/22315373/IJMTT-V51P526
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