Sentence examples for classified using data from from inspiring English sources

BP was classified using data from children in the United States identified through the master sample framework used for 1999 2000 National Health and Nutrition Examination Survey, population-based percentiles were provided by the NHBPE Program [ National High Blood Pressure Education NHBPEE) Program Working Group on High Blood Pressure in Children and Adolescents 2004].

CBFv was classified using data from 115 Kenyan non‐SCA control children (Newton et al, 1996) as low (<43 or <39·5 cm/s) for the left and right middle cerebral artery (LMCA/RMCA), high (>141 or >143·5 cm/s LMCA/RMCA) or normal.

Land cover vegetation affects evapotranspiration (ET) and soil depth affects soil moisture capacity, so within catchments vegetation was classified using GIS data from the National Land Cover Dataset and soil depth was classified using SSURGO and STATSGO data (Table 3).

The importance of mode shape characterisation is discussed and modes are classified using experimental data from 3D laser Doppler vibrometer measurements and finite element analysis.

The 12 diagnostic discrepancies between the individual WSI-based reports can be classified into four main types using data from the consensus committee (Appendix).

Similar to the results obtained using our dataset, classifying arousal and valence by using data from unfamiliar music video sessions achieved higher performance than by using either high familiarity sessions or the overall dataset.

In arousal recognition, the best result over the chance level was obtained by classifying PSD features with SVM using data from low familiarity sessions; this methodology achieved 73.30 % ((SD = 7.71, %)) averaged accuracy across subjects against a chance level of 64.15 % ((SD = 10.70, %)).

Fig. 1 classifies individuals on glycemic status using data from the OGTT subsample who, in addition to the 2-h plasma glucose, had measurement of A1C and FPG.

Patients were classified as CHR residents or nonresidents using data from the CHR Data Warehouse (a regional administrative database), where regional residents are flagged if their home address is within the geographical boundaries of the CHR.

The expected advantages are that large data sets can be classified using subdivided data, and classification from mixed DEMs of different data sources may be possible if corrected thresholds are used (Iwahashi et al. 2015).

On the other hand, Puthenveettil et al. [ 15] used linear discriminant analysis to classify hand preshapes in poststroke patients using data from the CyberGlove.