Sentence examples for healthy classification from inspiring English sources

For the facial gloss analysis, Zhang et al. [ 2] also present healthy classification using facial gloss information.

For colon cancer versus healthy classification, the training data are identical with that used for marker computation (i.e. either GSE8671 or GSE10950).

CNN and SVM algorithms were run comparatively to classify respiratory audio: (1) healthy versus pathological classification, (2) rale, rhonchus, and normal sound classification, (3) singular respiratory sound type classification, and (4) audio type classification with all sound types.

We prepared four data sets for each CNN and SVM algorithm to classify respiratory audio: (1) healthy versus pathological classification; (2) rale, rhonchus, and normal sound classification; (3) singular respiratory sound type classification; and (4) audio type classification with all sound types.

In order to find classifiers that distinguish breast cancer patients from healthy people, multivariate classification analysis was performed using RF, SVM and LDA.

See Fig. 2, Fig. 3 ACmax and VCmax were the best predictors in discriminating a subject as myasthenic or healthy with perfect classification ability (AUC = 1).

For example, it may be better to use the height and the width of a person's silhouette than an entire silhouette image for a healthy and unhealthy classification.

ApoE levels were then analysed between clinical classifications (healthy controls, mild cognitive impairment (MCI) and AD) and correlated with the data available from the AIBL cohort, including but not limited to APOE genotype and cerebral amyloid burden.

The data collected in healthy controls allow a classification of finding in single patients.

This paper explores the active role of healthy pattern in fault classification and proposes a new fusion feature extraction method based on locality preserving projections (LPP).

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