Sentence examples for using a scoring model from inspiring English sources

The activity of skin disease and osteitis were assessed by a physician using a scoring model (from 0 to 6).

The probability of symptomatic intracerebral haemorrhage in treated patients was incorporated using a scoring model from Safe Implementation of Thrombolysis in Stroke-Monitoring Study (SITS-MOST) data.

The DAM also includes patient-specific predictions of risk of SICH for patients treated with thrombolysis (using a scoring model derived from patients treated with thrombolysis in routine practice [ 31]), including the subsequent impact of SICH on outcomes at three months with reference to proportions of patients that would be mRS 0 to 2, 3 to 5 and dead following SICH [ 32].

Cases in the SITS-UK data that met the criteria for the SITS-MOST definition of SICH were too few (n = 18) to derive a prediction equation; therefore the risk of SICH for treated patients was estimated used a scoring model reported in the literature [ 21] derived from the wider SITS-MOST population.

By using a scoring or ranking model, management can establish consensus among panel members through repeated problem scoring, discussion, feedback and, if necessary, rescoring or reranking.

When combined with reported P-value for a peptide hit using a score distribution model, this new measure prevents exaggerated statistics.

We decided to test whether using a scoring matrix derived from the CC model can improve homology detection over the standard BLOSUM62 matrix.

Illness severity of patients was stratified using a validated scoring model demonstrating high sensitivity and specificity for hospital mortality within 24 hours - the VitalPAC™ Early Warning Score (ViEWS) (The Learning Clinic, Pynes Hill, Exeter, Devon, England) [ 18].

Secondly, we analysed each SNP using a score test from a linear mixed model (38), allowing for possible relatedness between individuals via consideration of their genome-wide estimated kinship coefficients, using the 'mmscore' function in the R package GenABEL (39).

Atypical LAT relapse patients were matched 1 3 with oral AP relapse patients, using a propensity score model.

We characterized local substitution rates and measured cross species correlations using a z-score model which has been described previously [ 1], for several reasons.