<?xml version="1.0" encoding="UTF-8"?>
<records>
<record>
<language>eng</language>
<publisher>Science and Education Publishing</publisher>
<journalTitle>Applied Ecology and Environmental Sciences</journalTitle>
<eissn>2328-3920</eissn>
<publicationDate>2022-09-12</publicationDate>
<volume>10</volume>
<issue>9</issue>
<startPage>573</startPage>
<endPage>578</endPage>
<doi>10.12691/aees-10-9-3</doi>
<publisherRecordId>AEES20221093</publisherRecordId>
<documentType>article</documentType>
<title language="eng">Stochastic Model for Risk Factors of Diabetes Patients</title>
<authors>
<author>
<name>Mahalakshmi R.</name>
<email>mahalakshmirajendran@gmail.com</email>
<affiliationId>1</affiliationId>
</author>
<author>
<name>Senthamarai Kannan K.</name>
<affiliationId>1</affiliationId>
</author>
<author>
<name>Dinu Shahai. D</name>
<affiliationId>1</affiliationId>
</author>

</authors>
<affiliationsList>
<affiliationName affiliationId="1">Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli ¨C 627 012, Tamil Nadu, India</affiliationName>


</affiliationsList>
<abstract language="eng">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.</abstract>
<fullTextUrl format="pdf">http://pubs.sciepub.com/aees/10/9/3/aees-10-9-3.pdf</fullTextUrl>
<keywords language="eng"><keyword>Markov chain</keyword>
<keyword>TPM</keyword>
<keyword>diabetes</keyword>
<keyword>BMI and HIV</keyword>
</keywords>
</record>
</records>
