Biomedical Engineering Reference
In-Depth Information
class. The pile of classes involved are diabetes stack, bio-pile, social, and individual
pile of classes where each instantiation creates new association across the various
member functions and attributes. The pile of classes helps to identify the exact or
dominant confounder within the problem domain. To substantiate the aggregation
of confounder, the numerical analysis is used with sample of bio, socio, and
individual domain of interest. The following observations are made to identify the
confounder and its collapsibility with respect to a set of entities shown in the form
of Tables
2
,
3
and
4
.
From the Table
2
, the bad habit which acts as a confounder for the bio-cause
(hereditary) and social cause (Junk food consumption) has an impact value known
as confounder impact (CI).
CI
Bad Habit
= 36,000/158,200 = 0.00275
the confounder is having a positive impact with the positive confounder impact
value,
CI
Bad Habit
¼
3200
=
20500
¼
0
:
15609
:
Table
4
shows that the confounder is having a negative impact with the negative
confounder impact value, CI
Bad Habit
= 4,000/16,600 = 0.2409.
Figure
4
shows the overall design diagram of the diversied insulin-associated
beta-behavioral endogenously triggered exposed symptoms (DIABETES) model
Table 2 Association of
hereditary and junk food
Hereditary
Junk food
Consume
No consume
Has
36,000
29,000
Has not
51,000
42,200
Total
87,000
71,200
Table 3 Association of
hereditary and junk food with
bad habit
Hereditary
Junk food
Consume
No consume
Has
3,200
4,300
Has not
10,000
3,000
Total
13,200
7,300
Table 4 Association of
hereditary and junk food
without bad habits
Hereditary
Junk food
Consume
No consume
Has
2,600
4,000
Has not
9,000
1,000
Total
11,600
5,000
Search WWH ::
Custom Search