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The background characteristics of the respondents who received VCT through either the facility or home based models are compared in Table 1 below.
In this work, rough set based models are compared with other data-driven methods with respect to two factors related to clinical credibility: accuracy and accessibility.
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Predictions from the developed correlation based models were compared with the condenser's (ACC and WCC) performance of three different screw chiller manufacturers and they match within ±8% and ±11% for ACC and WCC at 70 – 100% load.
The results of these two models (i.e., robust model and mean-value based model) are compared with each other at the following.
Two different knee-joint kinetic models (pin-joint approximation and anatomically based model) are compared against a condition with no exoskeleton.
In this work, prediction errors on test sets obtained by using an ODE based model are compared to the residuals from an unsupervised data analysis method which does not make any use of biochemical knowledge.
Performance of the developed ADM based model is compared with the reactor scale models in which the reactor back-mixing is represented using some combination of the two limiting ideal reactor models of, complete stirred or plug flow.
Multiple regression and neural network-based models are compared using statistical methods.
Responses from 3-D SFEs- and 2-D SFEs-based models are compared.
In the previous studies, one or more of the mass transfer-based models are compared with temperature, radiation, or pan evaporation-based models.
The effects of drug adherence interaction with drug resistance-based models are compared using (i) the sum of the squared residual (SSR) from individual subjects and (ii) the deviance information criterion (DIC), a Bayesian version of the classical deviance for model assessment, designed from complex hierarchical model settings.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com