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Similarly, sensitivity and PPV went up as the comprehensiveness of the model increased, regardless of outcomes or thresholds.
Merely comparing the set of detected metabolites to the set of metabolites present in the model already help in assessing the comprehensiveness of the model.
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Furthermore, Figure 3 demonstrates the comprehensiveness of the present model of Equation 7 in comparison with published experimental data for both Al2O3 and CuO nanofluids from different leading groups [6, 10, 24]. Figure 3 Predictions of the present model with corresponding experimental data for various Al 2 O 3 and CuO nanofluid samples [6, 10, 24].
The proportion of true cases identified by risk adjustment models increased as the comprehensiveness of the risk adjustment model increased, regardless of outcome standards.
These are competencies that develop over time and depend on the quality of interprofessional collaboration and the comprehensiveness of the patient care model [ 21, 88, 91, 98, 99].
Across three outcome standards, total expenditures, drug expenditures, and top/bottom expenditures ratio generally increased as the comprehensiveness of the risk adjustment model increased.
Five risk adjustment models evaluated in this study are listed below based on the comprehensiveness of risk adjusters: Model 1: Demographics (sex and age groups) only, Model 2: ACGs with demographics, Model 3: ADGs plus selected EDCs with demographics, Model 4: Prior expenditures with demographics, and Model 5: Prior expenditures, ADGs plus selected EDCs with demographics.
As with any computational analysis, there are limitations in our investigation that result from the underlying data we used; for example the number of genes included on the expression array may affect the comprehensiveness of the information incorporated in the model.
In addition, numerical simulations were carried out to assess the comprehensiveness of the corresponding gasoline surrogate model from Lawrence Livermore National Laboratory.
To the extent that these differences may have influenced the results of the survey, the comprehensiveness of models of service delivery may have been overestimated.
Correct predictions, failing to invalidate the model, do strengthen the confidence in the model but only to the degree commensurate with the comprehensiveness of the particular prediction.
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