Diversified Insulin-Associated Beta-Behavioral and Endogenously Triggered Exposed Symptoms (DIABETES) Model of Diabetes in India - Computational Intelligence Techniques for Comparative Genomics - page 6

The other studies revealed that confounder factor should associate with exposure
that is it should have imbalance distribution between the exposed and the non-
exposed groups. The earlier work on confounding and reasoning on epistemological
studies showed that the confounding variable should be an independent risk factor
for outcome of interest and at the same time, there should be an inherent association
present in both the exposed and the non-exposed groups making the association not
be an intermediate pathway relation between exposure and outcome. The work is
also to propose a outcome-driven process algebra to inculcate the different pro-
cesses through a number of operations and their notations. The IAB-ETS process
model tries to aggregate the variables with the help of covariant from other domain
of cause without affecting the positive and negative association with other two
domains of interest in the area of diabetes modeling.

4 IAB-ETES Model Process Algebra

The process model can be very well applied to the interaction of multivariables in
different domain of interest (DOI) with timing perspective. Operations under con-
sideration play a major role in evaluating the performance of the proposed process
model. The factors that predict the occurrence and rapidity of decline in β -cell
function are still ed islet cell

autoantibodies as predictors of future decline and age as a determinant of residual
insulin production at diagnosis. Historical as well as recent clinical experience has
emphasized the importance of residual insulin production for glycemic control and
prevention of end organ complications. Understanding the modi

largely unknown, but most studies have identi

ers and predictors

of -cell function would allow targeting immunological approaches to those indi-

viduals most likely to bene

β

t from therapy. According to present knowledge, the
known high risk (symptoms for getting diabetes) of individuals are: (i) those with a
family history of Type 2 diabetes; (ii) women who had gestational diabetes; (iii)
people whose blood glucose has been previously found to be moderately increased;
and (iv) hypertensive subjects. In addition, obese and physically inactive people
have an increased risk of Type 2 diabetes. Altogether, these high-risk individuals
are so numerous in modern societies that they would in fact comprise a large
proportion of the adult population worldwide. As knowledge of the genetic pre-
disposition for Type 2 diabetes increases, communities with a high genetic pre-
disposition should be targeted.
The earlier PEPA model has been fully applied to enhance the performance of
the said processes. The operators are identi ed to match all the three different

domains of interest with equal weightage. The risks and the likelihood of any event
or process can be linked to that particular domain of interest. The exposures or
causes in one DOI have to be composed in a parallel way or not in a parallel way.
The timing of that activity is to be taken care since the pre- or post-execution of one
operation with other may not yield the expected outcome. The important operations
with their explanations are given, and the corollaries are given to supplement the