Sentence examples for characteristics for predicting from inspiring English sources

There are few data that assess the accuracy of echo characteristics for predicting lymph-node (LN) metastases in patients with rectal cancer.

This paper aims to compare the difference in vibration behaviour between symmetric and asymmetric buildings and then use the vibration characteristics for predicting damage in them.

This paper describes the development and validation of a highly efficient robust numerical simulation based on the method of characteristics for predicting release rates following the puncture of pipelines containing high pressure hydrocarbon mixtures.

My main argument has been that new firms contribute to either regional industrial path extension, regional industrial path renewal or regional new path creation, and I have argued that innovation novelty and entrepreneurial growth intentions are significant firm characteristics for predicting the potential firm specific contribution to regional industrial path development.

The PCT test characteristics for predicting infection in critically patients are provided in Table 5.

Additional file 1: Test characteristics for predicting bacterial blood culture-positive bacterial infection.

Liquid holdup in slugs is a critical slug flow characteristic for predicting average liquid holdup and pressure gradient in two-phase pipeline systems and for designing downstream separation and process facilities.

Molecular dynamics simulation is a powerful tool to simulate and analyze complex physical processes and phenomena at atomic characteristic for predicting the natural time-evolution of a system of atoms.

Patient characteristics relevant for predicting surgical adverse events include age [ 7], height and weight (body mass index) [ 8], smoking status [ 9], burden of coexisting medical conditions [ 10], gender, and race [ 11, 12].

Using the receiver-operating characteristics curve for predicting mortality, the area under the curve in NHAP was 0.70 for the A-DROP scale, 0.69 for the CURB-65 scale, 0.67 for the PSI class, and 0.65 for the B/A ratio.

Receiver operating characteristic curves for predicting PiB status were calculated from predictions given by tenfold cross-validated random forest models, which have been shown previously [ 27] to have efficacy in creating blood-based predictors for PiB status.