Sentence examples for value and accuracy of from inspiring English sources

However, the value and accuracy of crime mapping is contested.

By dividing intelligence into types, analysts and commanders arrive at a better understanding of the value and accuracy of a given piece of information.

When analyzed by surgical site, the sensitivity, specificity, positive predictive value, negative predictive value and accuracy of the Mab scan were 94%, 42%, 53%, 92% and 65%, respectively.

Facing a team that was that hot, it is a testament to Missouri's talent that they managed to keep the game so close.For virtually opposite reasons, both games confirmed the value and accuracy of statistical prediction methods in college basketball.

The present study was designed to assess the sensitivity, negative predictive value, and accuracy of intraoperative sentinel lymph node mapping by means of a radio-guided method in patients with nonsmall cell lung cancer to find the most appropriate definition of sentinel lymph node and to evaluate the usefulness of different particle sizes of radiocolloid.

The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of FDG PET for detecting pleural metastases were 95%, 67 %, 95 %, 67 and 92%, respectively.

These results were then used to calculate sensitivity, specificity, negative predictive value, positive predictive value and accuracy for each of these programs (Figure 2c).

Parameters such as sensitivity, specificity, positive and negative predictive values, and accuracy of classifications are reported.

Sensitivity, specificity, positive and negative predictive values and accuracy of ultrasound and FNAC as tools for diagnosing malignancy were determined.

Sensitivity, specificity, positive and negative predictive values, and accuracy of nodal metastasis were determined with the results of LVSI status.

Sensitivity, specificity, positive and negative predictive values, and accuracy of EUS-FNA with histology analysis of the specimens for diagnosis of PM were, respectively, 93.8%, 60%, 93.8%, 60%and89%9%.