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Bio-medical Ontologies Maintenance and Change Management

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304 M. Fern<strong>and</strong>ez, M. Villasana, <strong>and</strong> D. Streja<br />

Residuals (unitless)<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

−2<br />

−4<br />

−6<br />

−8<br />

OIM<br />

LMM<br />

MM<br />

−10<br />

0 100 200 300<br />

Time (mins)<br />

Residuals (unitless)<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

−2<br />

−4<br />

−6<br />

−8<br />

NIM<br />

LMM<br />

MM<br />

−10<br />

0 100 200 300<br />

Time (mins)<br />

Fig. 6. Plot of the mean residuals for all data windows (n = 13), showing the difference<br />

between the LMM <strong>and</strong> MM approximation, for both the old <strong>and</strong> new modelling approaches<br />

(OIM <strong>and</strong> NIM respectively). They both show deviations that have a pattern.<br />

the local degradation at injection site for continuous infusion <strong>and</strong> bolus injection<br />

respectively, given in mU/min; they are Michaelis-Menten type functionals defined<br />

through the parameters VMAX,LD (mU/min), KM,LD (mU) which are saturation level<br />

<strong>and</strong> half maximal value of degradation respectively. Constants ke, ka1, <strong>and</strong>ka2 are<br />

transfer rates in 1/min <strong>and</strong> k is a dimensionless parameter. The output of this model<br />

is given by the plasma insulin y2 = Q3/V (mU/L), with V as the plasma insulin<br />

volume.<br />

In Fig. 5 the simulation results of this model can be seen for a bolus injection<br />

of 0.12 U/kg <strong>and</strong> also for this bolus injection together with a basal rate of<br />

0.0212 U/min.<br />

4 Statistical Analysis<br />

Only 13 data windows of 300 min from a total of 33 were selected for analysis.<br />

These windows were defined in our previous work [14] as acceptable windows as<br />

they fail to meet the following rejection criteria:

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