Sentence examples for ascertain the classification from inspiring English sources

For this purpose, the values obtained for the PCs and canonical functions (LDA) were fed into an ANN model using 4 hidden nodes (33% random data holdback) to ascertain the classification outcome obtained when PCA and LDA were applied.

19 The CCR helps to ascertain the classification of key SES indicators that influence diet quality according to their importance, thus providing better performance than traditional regression techniques.

Measurement of ZnT8A at or after clinical onset of diabetes is also useful to ascertain the classification of patients with solitary positivity for IAA, GADA, or IA-2A, as this increased the number of patients with double antibody positivity both for onset under and above age 15.

In order to simplify the selection of the SVM parameters, we tested several different settings to ascertain the best classification performance.

These missing pieces of the puzzle are critical to ascertain the most appropriate classification system for species that readily interbreed and cannot be classified into separate species based on biological species concept (i.e. reproductive barriers, Mayr 1942).

Our first experience (Ludwin et al., 2014b, c) using the ESHRE ESGE classification prompted us to conduct a study to ascertain the influence of this classification on the frequency of septate uterus diagnoses, and the overall rate of congenital uterine anomalies compared with the ASRM criteria.

The functional protein category was chosen for further GO classification to ascertain the underlying functional diversity of gained sequences.

To ascertain the clinical significance of various classifications, we systematically excluded patients with HAM, CB and ORF from each of the classifications and then re-analyzed the severity.

Chen et al. [12] have proposed a hybrid approach that mixes extraction of key phrase, textual, financial data to ascertain the vicious of phishing attack using supervised classification strategies.

The Database for Annotation, Visualization and Integrated Discovery tool (DAVID) was used to carry out a functional classification and annotation and ascertain the enrichment of particular biological gene ontology categories (GO)[33].

Logistic regression models were fitted to ascertain the association between different factors and a correct classification regarding depression status.