Sentence examples for data on classification from inspiring English sources

Exposure—We extracted data on classification and bioverification of abstinence.

After excluding 417 patients with type 1 diabetes (including missing data on classification of diabetes type), and 945 with missing variables used in the analysis, 8,767 patients were included in this analysis.

From the clinical files, data on classification criteria, gender, age, contact or exposure to patients with tuberculosis, origin from an endemic zone (site known in Mexico as prevalent for tuberculosis), symptomatology, evolution, time of the illness, and cause of death were extracted.

After obtaining multi centre research ethics committee approval, (Scotland MREC; reference MREC/03/0/108), a sample of ten English primary care trusts was selected, broadly reflecting variation described in the Office of National Statistics ONSNS) data on classification of health areas (Table 1).

All potential registrants of the same substance are by REACH definition members of a SIEF and shall share substance data, agree on classification and labelling and do joint submissions of registration dossiers.

For a detailed discussion of the influence of data dimensionality on classification results please refer to the "Discussion" section.

We visualized the effects of systematic data reduction on classification accuracy as a simple line segment plot (Fig. 4a), which illustrated the "elbow" of the accuracy plot at the point on the x-axis when only two ASL images were used to inform GP classification.

To avoid potential biases from presetting training/test data partition on classification, we employ the k-fold (k = 5) cross-validation in our experiments to evaluate the five classifiers' performance for all data sets instead of the independent test set approach.

Although the ascertaining of cancer diagnoses in the DCR is virtually complete, 3– 5 we found that approximately one-third of CRC patients had missing data on TNM classification.

Taking the community as the organizational level of analysis, data on the classification of aged persons in Durham County, North Carolina, and data on the changes in classification of these individuals within the population over time are gathered and studied.

The purpose of this paper is to summarize the literature on NRAS and BRAF activating mutations in melanoma tumors with respect to available data on histogenetic classification as well as body site and presumed UV-exposure.