Exact(5)
Better agreement with experimental data in the prediction of peak value and its frequency of added resistance is achieved by present method.
In this publication, a new approach is presented on the use of particle size distribution data in the prediction of the in vitro dissolution profile of a suspension formulation.
Future studies might incorporate more factors/attributes and harness longitudinal data in the prediction of later clinical outcomes.
In addition, several other studies have found that PSAV does not provide additive data in the prediction of prognosis following treatments [ 57, 58].
Here we evaluated the role of a priori information, designs, and methods for handling BDL data in the prediction of individual virologic response and thus the ability of using viral kinetic models to individualize therapy in HCV GT-2/3 infected patients.
Similar(54)
Open image in new window Fig. 8 Plot of single elements for the data used in the prediction of the static Young's modulus from log data.
This work was designed to explore the potential use of protein-protein interaction data in improving the prediction of subcellular localisation for eukaryotic proteins.
Thus, it allows us to reflect variability measures contained in a data set in the prediction of future claim costs.
A secondary use of these data is in the prediction of cofactor stability which is a strong function of pH.
The semiempirical PM3 method exhibits the best agreement with the experimental data, especially in the prediction of the spectral position of the first absorption band (absorption threshold).
Determination coefficient (R2) values for training and testing data sets in the prediction of bonding strength by ANN were 0.997 and 0.986, respectively.
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