Sentence examples for evaluated the predictive accuracy from inspiring English sources

The investigators evaluated the predictive accuracy of the blood test in 363 people in Japan and Australia by comparing their estimates of brain amyloid based on the blood test with results of two standard beta-amyloid tests.

In this study, we evaluated the predictive accuracy of ED triage by nurses applying ESI using a novel approach that leveraged both clinical judgment of a treating physician with knowledge of actual ED resource utilization and clinical outcome data captured from the EHR.

Gomez et al. evaluated the predictive accuracy of a combination of fetal fibronectin measurement and cervical length measurement [ 24].

We then evaluated the predictive accuracy of this expression signature on tumour sets from two similar studies on lymph-node negative patients.

In addition, we evaluated the predictive accuracy of widely used simple formulae for plasma osmolality (28) and tonicity (6) as well as the use of the aggregate method proposed by Wells et al (29).

We also evaluated the predictive accuracy of the WHO criteria for probable dengue, which states that at least two of the following manifestations must be present in an acute febrile patient: headache, retro-orbital pain, myalgia, arthralgia, exanthema, leukopenia, and hemorrhagic manifestations [ 30].

These fluorescent markers were used to annotate a subset of the cells with the ground truth (expected results) needed to train the machine-learning algorithms and to evaluate the predictive accuracy of our label-free approach (see Methods section).

To evaluate the predictive accuracy of different methodologies for selecting a basal FSH threshold level that prognosticates live birth after IVF.

To quantitatively evaluate the predictive accuracy of the equation of the state, we compared numerical calculation results with reference experimental data.

OBJECTIVES: We sought to evaluate the predictive accuracy of four bypass surgery mortality clinical risk models and to examine the extent to which hospitals' risk-adjusted surgical outcomes vary depending on which risk-adjustment method is applied.

The ROC curves are significant for evaluating the predictive accuracy of a chosen model particularly in dichotomous statistical modeling such as logistic regression (Gorsevski et al. 2006), and the area under the curve obtained from the ROC (receiver operating characteristics) plot is the most preferred and applicable type of statistical assessment (Akgun et al. 2012).