Ordinal regression analysis was applied to further identify differences between the protocols and their effect on the quality of the images produced and therefore as predictors of image quality.
This study utilized a within subjects design with 92 undergraduate students to compare methodologies and evaluate predictors of body image dissatisfaction and distortion.
The search algorithm employed in caret uses the recursive feature elimination method on predefined sets of predictors and in this study the length of the variable subsets was defined as [1 to 10, 15, 20, 25, 30, 35, 40, 45, 50], except for the image-only data, where the subsets were [1 to 10, 15, 20, 25, 30, 31] due to the number of image predictors.
The SPN predictor can suppress the effect of image content better and lead to a more accurate SPN estimation because of its adaptability of different image edge regions.
In the linear analyses of PCA and LDA, however, presence of image features in the predictor sets is on a par with the microarray features.
However, previous studies have shown that SAD measured by anthropometry is an excellent predictor of SAD measured by a CT image (13, 14).
In addition, more authors individuated in body image an outcome predictor of hospitalization even more reliable than interpersonal problems and general psychopathology pointing out indeed how body perception instead of body dissatisfaction can be an indicator of treatment progression [ 63].
Our purpose was to determine whether the echogenic swirling pattern identifiable on real-time chest ultrasonographic images is a predictor of malignant pleural effusions in patients with malignancies.
On the other hand, several groups have confirmed that low signal intensity on preoperative T1-W MR images is a predictor of a poor prognosis [ 23, 30, 34].
That is why a set of pixels located in highly variative region of image is predicted more effectively by the proposed scheme rather than other LS predictors.
