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Finally, our model uses data derived from a comprehensive EMR, so it may only be useful in such settings.
The model uses data going as far back as 1980 to calibrate its results.
The software's absorption model uses data gathered from living humans to predict how a compound will penetrate through the intestinal wall and the blood-brain barrier.
Each model uses data from multiple years of U.S. inpatient hospital discharges and outpatient surgeries.
The hybrid model uses data mining to improve accuracy and uses genetic algorithm and evolutionary strategy to evolve the knowledge base of FES (DEFES).
Our model uses data in x- and y-coordinates rather than in polar coordinates, which is useful for situations in which the resolution of the observations is limited.
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We empirically test the model using data compiled from several data sources.
Chikumbo and Steward ([2007]) developed a basal area model using data from thirteen planted stands.
Bajari and Hortaçsu (2005) test a structural auction model using data from a laboratory experiment.
Forecast for 2008 by the MGR model using data from 1965 through 2007.
The model used data from previous publications and local ambulance service and hospital databases.
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