Sentence examples for classifications were analyzed from inspiring English sources

The clinical, spirometric and serological (total and A fumigatus specific IgE levels, eosinophil count) severity of the disease and clinical outcomes in various classifications were analyzed.

Genes with different classifications were analyzed a third time to assign a final classification.

Tumor, node, and metastases (TNM) stage and histopathological classifications were analyzed according to the World Health Organization (WHO) system.

Factors associated with AVN of the femoral head and the latest McKay and Severin classifications were analyzed by multiple logistic regression models.

For every process step, the created classifications are analyzed.

The classification principle of various types was described, and the characteristics of hydrometeor classification were analyzed.

Pathways analysis and correlations between clinical parameters and our classification were analyzed.

Concordance between the ESHRE ESGE and ASRM classifications of septate uterus and others, congenital anomaly and normal or septate uterus by the ESHRE ESGE classification, and arcuate + septate by the ASRM classification were analyzed using the κ coefficient.

The rates of false negative and false positive classification were analyzed depending on different sets of emission probabilities: e01 ∈ [0.22, 0.33], e11 ∈ [0.70, 0.80] Using the mean emission probabilities from the simulated datasets of three siblings, e01 = 0.28 and e11 = 0.77 yielded classification error rates of fnr = 0.016 and fpr = 0.095 (triangle in Fig. 2C).

Nonlinear oscillations in continuous fluidized bed spray granulation with external product classification are analyzed.

The result of the classification is analyzed in ArcGIS 10 software, and final land-use maps for modeling are prepared.