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Algebraic Approach to predict Diabetic Retinopathy: Evidence from Diabetes database
T. Subhramaniyan1 , P. Sankar2 , P. Paulraj3 , M. G. Ragunathan4 , J. Jayanthi5
Section:Research Paper, Product Type: Isroset-Journal
Vol.5 ,
Issue.5 , pp.164-168, Oct-2018
CrossRef-DOI: https://doi.org/10.26438/ijsrmss/v5i5.164168
Online published on Oct 31, 2018
Copyright © T. Subhramaniyan, P. Sankar, P. Paulraj, M. G. Ragunathan , J. Jayanthi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: T. Subhramaniyan, P. Sankar, P. Paulraj, M. G. Ragunathan , J. Jayanthi, “Algebraic Approach to predict Diabetic Retinopathy: Evidence from Diabetes database,” International Journal of Scientific Research in Mathematical and Statistical Sciences, Vol.5, Issue.5, pp.164-168, 2018.
MLA Style Citation: T. Subhramaniyan, P. Sankar, P. Paulraj, M. G. Ragunathan , J. Jayanthi "Algebraic Approach to predict Diabetic Retinopathy: Evidence from Diabetes database." International Journal of Scientific Research in Mathematical and Statistical Sciences 5.5 (2018): 164-168.
APA Style Citation: T. Subhramaniyan, P. Sankar, P. Paulraj, M. G. Ragunathan , J. Jayanthi, (2018). Algebraic Approach to predict Diabetic Retinopathy: Evidence from Diabetes database. International Journal of Scientific Research in Mathematical and Statistical Sciences, 5(5), 164-168.
BibTex Style Citation:
@article{Subhramaniyan_2018,
author = {T. Subhramaniyan, P. Sankar, P. Paulraj, M. G. Ragunathan , J. Jayanthi},
title = {Algebraic Approach to predict Diabetic Retinopathy: Evidence from Diabetes database},
journal = {International Journal of Scientific Research in Mathematical and Statistical Sciences},
issue_date = {10 2018},
volume = {5},
Issue = {5},
month = {10},
year = {2018},
issn = {2347-2693},
pages = {164-168},
url = {https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=882},
doi = {https://doi.org/10.26438/ijcse/v5i5.164168}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i5.164168}
UR - https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=882
TI - Algebraic Approach to predict Diabetic Retinopathy: Evidence from Diabetes database
T2 - International Journal of Scientific Research in Mathematical and Statistical Sciences
AU - T. Subhramaniyan, P. Sankar, P. Paulraj, M. G. Ragunathan , J. Jayanthi
PY - 2018
DA - 2018/10/31
PB - IJCSE, Indore, INDIA
SP - 164-168
IS - 5
VL - 5
SN - 2347-2693
ER -
Abstract :
The paper examines the factors that lead to retinopathy diabetes. A dataset of 1500 diabetic patients obtained from Madras Diabetes Research Foundation, Chennai was used in the study and 422 patients were found to be retinopathic. The study found that the family history and lipid profiles are insignificant factors causing retinopathy. The study reveals that smoking leads to retinopathy-diabetic rather than alcoholism.
Key-Words / Index Term :
Diabetics - Retinopathy - Smoking habit - Logit model
References :
[1] Rema, M and R.Pradeepa, (2006). Diabetic Retinopathy: An Indian Perspective. Indian Journal of Medical Research, 125, 297-310.
[2] Eye Diseases Prevalence Research Group. Causes and prevalence of visual impairment among adults in the United States. Arch Ophthalmol 2004; 122: 477– 485.
[3] Eye Diseases Prevalence Research Group. The prevalence of diabetic retinopathy among adults in the United States. Arch Ophthalmol 2004; 122:552– 563.
[4] Wild S, Roglic G and Green A, Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 2004; 27:1047–1053.
[5] Ramachandran A, Jali MV and Mohan V, High prevalence of diabetes in an Urban population in South India. BMJ 1988; 297:587–590.
[6] Agarwal S, Raman R and Paul PG, Sankara Nethralaya- Diabetic Retinopathy Epidemiology and Molecular Genetic Study (SN-DREAMS 1): study design and research methodology. Ophthalmic Epidemiol 2005; 12:143–153.
[7] Oakes JM and Rossi PH, The measurement of SES in health research: current practice and steps towards a new approach. Soc Sci Med 2003; 56:769–784.
[8] Sharma T, How necessary is the second estimation of fasting plasma glucose level by laboratory venous blood to diagnose type 2 diabetes, particularly in epidemiological studies [letter] Ophthalmic Epidemiol 2006;13:281–282.
[9] Raman Kutty V, Joseph A and Soman CR, High prevalence of type 2 diabetes in an urban settlement in Kerala, India. Ethn Health 1999; 4:231–239.
[10] Gupta A, Gupta R and Sarna M, Prevalence of diabetes, impaired fasting glucose and insulin resistance syndrome in an urban Indian population. Diabetes Res Clin Pract 2003; 61:69 –76.
[11] Zargar AH, Khan AK and Masoodi SR, Prevalence of type 2 diabetes mellitus and impaired glucose tolerance in the Kashmir Valley of the Indian subcontinent. Diabetes Res Clin Pract 2000; 47: 135– 146.
[12] Ramachandran A, Snehalatha C and Kapur A, Diabetes Epidemiology Study Group in India (DESI). High prevalence of diabetes and impaired glucose tolerance in India: National Urban Diabetes Survey. Diabetologia 2001; 44: 1094 –1101.
[13] Mohan V, Deepa M and Deepa R, Secular trends in the prevalence of diabetes and glucose tolerance in urban South India—the Chennai Urban Rural Epidemiology Study (CURES-17). Diabetologia 2006; 49:1175– 1188.
[14] Kuzuya T, Akanuma Y, Akazawa Y and Uehata T, Prevalence of chronic complications in Japanese diabetic patients. Diabetes Res Clin Pract 1994; 24 (suppl):S159–164.
[15] Dandona L, Dandona R and Naduvilath TJ, Population based assessment of diabetic retinopathy in an urban population in southern India. Br J Ophthalmol 1999; 83:937– 940.
[16] Cugati S, Kifley A, Mitchell P and Wang JJ, Temporal trends in the age-specific prevalence of diabetes and diabetic retinopathy in older persons: population-based survey findings. Diabetes Res Clin Pract 2006; 74:301– 308.
[17] Kumaramanickavel G, Ramprasad VL and Sripriya S, Association of Gly82Ser polymorphism in the RAGE gene with diabetic retinopathy in type II diabetic Asian Indian patients. J Diabetes Complications 2002; 16:391– 394.
[18] Van Leiden HA, Dekker JM and Moll AC, Blood pressure, lipids, and obesity are associated with retinopathy: the Hoorn Study. Diabetes Care 2002; 25:1320 –1325.
[19] Perusicova J, Prevalence of dyslipidemia, hypertension and vascular complications in newly diagnosed diabetics (prospective study: part 2) [in Czech]. Vnitr Lek 2001; 47:146 –150.
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