Stochastic Model for Risk Factors of Diabetes Patients

Mahalakshmi R.^1, , Senthamarai Kannan K.¹ and Dinu Shahai. D¹

¹Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli – 627 012, Tamil Nadu, India

Cite this paper:
Mahalakshmi R., Senthamarai Kannan K. and Dinu Shahai. D. Stochastic Model for Risk Factors of Diabetes Patients. Applied Ecology and Environmental Sciences. 2022; 10(9):573-578. doi: 10.12691/aees-10-9-3

Abstract

Diabetes mellitus (DM) is a chronic condition that is potentially fatal. Over time, it can damage any organ of the body, leading to significant consequences such nephropathy, neurology, and retinopathy. The main objective of this article is to predict the BP and BMI of the female diabetic patients by using a stochastic model. At first, Biomedical characterizes and their statistical properties to all the study variables are described by TPM and Steady State. From the result of the TPM, most of the female patients have normal BP and they are at the level of obesity. The predicted results shows that the obese women will be in the high risk of developing diabetes, even if their BP is normal after 10 years from steady state.

Keywords:
Markov chain TPM diabetes BMI and HIV

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