Sentence examples for model derived using from inspiring English sources
The system nonlinear mathematical model, derived using Lagrangian modeling approach, is simulated in MATLAB/Simulink® environment.
The first goal of this manuscript is to examine whether the kinetics of four different anesthetic agents generated by a physiological uptake model (used by the Gas Man® program, Med Man Simulations, Inc., Chestnut Hill, MA) can be equally well described by a mammilary compartmental model (derived using non-linear mixed effect modeling or NONMEM) [ 6].
The model includes a Reynolds stress turbulence model, the method of moments-based Sγ population balance approach and a boiling model derived using the heat flux partitioning approach.
A new semi-analytical multibody system (MBS) model derived using general nonlinear flexible body dynamics formulation is developed in this investigation.
We use a PAM dynamic model derived using first principles modeling (for contraction, pressure, and air flow dynamics) and ANFIS-based approximation based on the experimental data for the muscle force function.
Progression rates in a propensity score matched cohort were compared between statin users and nonusers using McNemar's test with the propensity model derived using associated medical and demographic factors.
Prognostic scores differ between models derived using different segmentation methods.
Figure 7 Comparison of ROC plots for models derived using different fingerprints.
Pseudo-R 2: It is known that models derived using OLS procedure use coefficient of determination (R 2) as a measure of 'goodness-of-fit.' But the MLE-based models are evaluated with the help of log-likelihood-ratio test.
As of today, the Hindmarsh-Rose remains justifiably one of the most popular mathematical models, that describes, qualitatively well, the dynamics of a certain class of neuronal models derived using the Hodgkin-Huxley formalism.
Texture features are dependent on the segmentation method Prognostic scores differ between models derived using different segmentation methods Patient risk stratification using identical clinical data is dependent on the segmentation method.
