Sentence examples for predetermined classification from inspiring English sources

The quality assessment tool (Table 2) has shown an overall methodological appraisal score of 58%, indicating fair methodological quality according to the predetermined classification criteria.

Perhaps the most important reason to write a succinct and complete abstract is because not all reviewers on a panel will be formally assigned to read your proposal: Generally, the primary and secondary reviewers report their analysis and give it a rating or predetermined classification.

To assign a patient to either a high- or low-risk group, each patient's PI was compared to a predetermined classification threshold.

Furthermore, the predetermined classification of incidence was quite rough but considers that on average farms in Austria each case represents approximately 5 %-points.

The predictive index generated by this secondary algorithm classifies patients as either 'ACT-responders' or 'ACT-non-responders', depending on whether the index is above or below the predetermined classification threshold (median index of Training Series B).

Wrapper methods use the predictive accuracy of predetermined classification algorithms, such as SVM, as the criteria to determine the goodness of a subset of features (Duan et al., 2005; Guyon et al., 2002; Zhang et al., 2006).

Since January 1995 Italian hospitals have been financed mainly according to nationally predetermined rates based on classification into diagnosis-related groups (DRGs) [ 4, 5, 6].

Tests for classification as endogenous or predetermined of arbitrary subsets of regressors are formulated as significance tests in auxiliary IV regressions and their relationships with various more classic test procedures are examined and critically compared with statements in the literature.

The three tiers which make up this classification system are not predetermined; rather they emerge organically from the criticisms which often focus on one of these aspects of Alexander's theory.

Cutoffs for BMI were predetermined and based on the World Health Organization classification of overweight and obesity (WHO, 2008).

This paper presents a least square support vector machine (LS-SVM) that performs text classification of noisy document titles according to different predetermined categories.