Sentence examples for classifications of healthy from inspiring English sources

Exact(1)

All this seems to suggest that when using the index, i) incorrect classifications of healthy and diseased persons are equally costly, and ii) that prevalence does not play a role.

Similar(59)

The analysis included a count, measurement and classification of healthy and atretic preantral and antral follicles in the greatest cross-sectional area.

Figure 7 presents PCA (A) and OPLS-DA (B) score plots of healthy and botrytized base wines indicating the correct classification of healthy wines and wines infected by Botrytis cinerea (20 and 40% of infection).

We evaluate the performance of MRI-based neuromorphometrics features (nMF) in the classification of Healthy Controls (HC), Mild Cognitive Impairment (MCI), converters MCI (cMCI) and Alzheimer's Disease (AD) patients.

The highest accuracy in classification of healthy to CLD subject discrimination from the support vector machine model was 87.3% with sensitivity and specificity values of 93.5% and 81.2%, respectively.

Similarly, Scanlan and colleagues recommended that untrained examiners use the rating normal CDT versus abnormal CDT for the classification of healthy versus demented individuals [ 50] (see also [ 13]).

This classification of healthy weight or overweight/obese was chosen to ensure that the sample used to develop the reference growth curves represented an "ideal healthy population", as recommended by the World Health Organization [ 18].

For the correlates, the classification of variables as either environmental drivers or constraints were informed by Lewin's field theory [ 14], which posits that behavior is the function of the person and the environment, and Lowe and Chan's classification of healthy work environment indicators [ 15].

As there is no standard definition of healthy survival, and as the criteria we used for some of our outcomes (such as physical function) might be considered somewhat arbitrary, we investigated the robustness of our definition and further considered an alternative classification of healthy survival.

All in all, it can be stated that the artificial neural network technique leads to better results than principal component analysis (the Baye's theorem) for the classification of healthy persons and cancer patients based on nucleoside data (Zhao et al, 1998; Yang et al, 2002).

Our classification of "breast healthy" levels of these behaviors differs from the American Cancer Society guidelines due to the way these variables were collected in the original WHI-OS data.

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