Causative Factors of Gestational Diabetics in Women – An analysis on the consequential impacts using LASFCM

Authors

  • Nivetha Martin Arul Anandar College (Autonomous), Karumathur

DOI:

https://doi.org/10.12723/mjs.46.4

Abstract

Pregnancy is the typical stage in every life cycle of woman where many biochemical and physiological changes take place in all the systems. The adaptation of these changes by the human body differs from one individual to another and it may result in many threats. Gestational Diabetics (GD) is one of the serious threats faced by women during pregnancy. The outbreak of GD is the resultant of several factors which are categorized as genetic, environmental, social and behavioural. The mitigation of this diabetic condition is very essential as it affects the foetus and the mother. The consequential impacts of the factors of GD have to be determined to initiate the preventive measures and to devise the curative medications in accordance to it. This paper introduces the concept of linguistic average super fuzzy cognitive map (LASFCM) which makes use of experts' opinion in terms of linguistic variables to find the substantial outbreak of GD.

Author Biography

Nivetha Martin, Arul Anandar College (Autonomous), Karumathur

Department of Mathematics, Arul Anandar College (Autonomous), Karumathur, Tamil Nadu

References

[1] R. Axelerod, Structure of decision: The cognitive maps of Political Elites. New Jersey: Princeton University Press, 1976.
[2] A. Ferrara, T. Peng and C. Kim, “Trends in postpartum diabetes screening and subsequent diabetes and impaired glucose regulation among women with histories of gestational diabetes mellitus,” Diabetes Care, vol. 32, 2013, pp.269-274.
[3] H. R. Frigeri, I. C. Santos, R. R. Rea, A. C. Almeida, C. M. Fadel-Picheth, F. O. Pedrosa, E. M. Souza, F. G. Rego and G. Picheth, “Low prevalence of glucokinase gene mutations in gestational diabetic patients with good glycemic control”Genetics and Molecular Research, vol.11, 2012, pp.1433-1441.
[4] M. M. Hedderson, E.P. Gunderson and A. Ferrara, “Gestational weight gain and risk of gestational diabetes mellitus,” Obstetrics and Gynecology, vol. 115, 2010, pp.597-604.
[5] F. B. Hu, “Globalization of diabetes: The role of diet, lifestyle, and genes,” Diabetes Care, vol. 34, 2011, pp.1249–1257.
[6] B. Kosko, “Fuzzy Cognitive Maps” International Journal of Man-Machine Studies, vol. 24, 1986, pp.65-75.
[7] N. Martin, D. Aleeswari and W. L. Merline, “Analysis of the need of green economics using fuzzy cognitive maps with hexagonal weights”’AIP Conference Proceedings 1952, 020110, 2018. https://doi.org/10.1063/1.5032072
[8] W. B. V. Kandasamy, F. Smarandache and K. Amal Super Fuzzy Matrices and Super Fuzzy Models for Social Scientists. Ann Arbor: InfoLearnQuest, 2008.

Additional Files

Published

2018-07-01