Sentence examples for using the score model from inspiring English sources

Exact(3)

The estimated cardiovascular risk of fatal cardiovascular disease within 10 years was calculated using the SCORE model.

We found that women with RA had higher global estimated 10-year cardiovascular risk of fatal CVD using the SCORE model (based on EULAR guidelines) compared to healthy controls.

The estimated cardiovascular risk of fatal CVD within 10 years was calculated using the SCORE model [ 7], according to the EULAR recommendations for cardiovascular risk management in patients with RA and other forms of inflammatory arthritis [ 5].

Similar(57)

Using the scoring model Metazoa, the genome of C. elegans was searched for potentially novel miRNA hairpins.

The scores from the SF-36 can be converted to utilities and hence to QALY's by using the scoring model as developed by Brazier J et al.[ 44] The study protocol conforms to the Helskinki Declaration and to local legislation.

Using the scoring model, this set of predictors is easy to calculate in the clinical setting and may facilitate appropriate referrals for enhanced imaging by outpatient physicians, as well as management of high-risk patients by radiologists and inpatient physicians.

Proportions (95% CI) were calculated using the Wilson score model by the OpenEpi statistical program (version 3.01), which is available online [ 23].

Using the GRACE score model, together with the determination of additional factors (congestive heart failure, PVD, prior stroke, and smoking status), we developed an improved model (KemScore) for death risk stratification for a 12-month period.

Using the summary score model, incidences of NODAT in low-risk, medium-risk, and high-risk groups in the initial cohort were 12, 29, and 56%, and in the validation cohort incidences were 11, 29, and 51%.

L ranges between 0 and 1 and represents the likelihood of a hairpin sequence to be a true miRNA hairpin given the underlying descriptors used in the scoring model.

Given 6 items, N = 1200, and 10 genetic variants explaining 1% of the variance each in one dimension of a two-dimensional trait, the probability to detect 6 or more of these variants would be >.95 under the true latent factor model, and <.20 when using the sum-score model (with the exact probability depending on the correlation between the factors).

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