Sentence examples for classifications combined from inspiring English sources

Importantly, according to the findings of a recent study with a mean follow-up of 8 (range, 6 11) years, nearly half of all patients hospitalized in an ICU for all surgical classifications combined still had problems with cognition (43%), mobility (52%), and pain/discomfort (57%) [19].

Improved time-activity classifications combined with personal continuous air pollution sampling can improve assessments of location-related air pollution exposures for health studies.

The distribution of the three risk categories across the three AMA audits, stratified by training classification, is shown in Figure 1. Figure 2 shows the distribution of the higher-risk categories across the three AMA audits for all training classifications combined.

Importantly, according to the findings of a recent study with a mean follow-up of 8 (range, 6 11) years, nearly half of all patients hospitalized in an ICU for all surgical classifications combined still had problems with cognition (43%), mobility (52%), and pain/discomfort (57%) [ 19].

Although the SVM approach is claimed to outperform earlier methods [ 35], SVM-based classifications combine many features in a single kernel function and therefore do not provide direct insight into the biological significance of these features.

The algorithm uses maximum likelihood classification combined with a certainty based fusion criterion.

The Lichine classification combined the best red wines of the four important Bordeaux districts: Haut-Medoc, Graves, St.-Emilion and Pomerol.

Fuzzy classification combined with spatial prediction was used to assess the state of soil pollution in the peri-urban Beijing area.

Their experimental results showed that machine learning classification combined with MFS significantly improved the performance of binary classification.

Combined assessment of NOTCH2 genetic markers D1S2696 and N2/N2N predicted 24-month survival with an accuracy (0.925) that is equivalent to histological classification combined with the D1S2696 status (0.954) and higher than current genetic evaluation by 1p/19q LOH (0.762).

However, using the centromeric marker D1S2696 in combination with the N2/N2N test, the accuracy to predict survival (more or less than 24 months) was 0.925, which was similar to the accuracy to predict survival of the histological classification combined with the D1S2696 status (0.954, Table 3).