“…Machine learning models combining these digital biomarkers could discriminate between individuals with a high risk of depression and individuals with no risk.…”
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“…Specifically, two behavioral measures, the emotional state and the degree of confidence of participants in answering questions in Aristotle’s valid–invalid syllogisms, and one demographic variable, age, statistically and significantly discriminate the three groups’ ASD. The seed-PLC generated functional connectivity networks for ASD, ADHD, and control, were ‘projected’ on the regions of the Default Mode Network (DMN), the ‘reference’ connectivity, of which the structural changes were found significant in distinguishing the three groups. …”
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“…However, previous studies have failed to discriminate the effect of self-monitoring from the combination of the 2 strategies, and provide practical evidence within Chinese culture. …”
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“…The aim of this study was to observe the FAO distribution on a continuous, large population of patients and to analyze its discriminating power between pathological and non-pathological cases. …”
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“…CONCLUSION: More than half of focal hypermetabolic TIs on F-18 FDG PET-CT were revealed as malignant lesions, and SUV(max) was the best parameter for discriminating between malignant and benign disease. Unexpected focal hypermetabolic TIs with the SUV(max) above the cut-off value of 8.5 may have a greater than 70% chance of malignancy; therefore, further active assessment is required.…”
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“…However, lower PE over 3 months were associated with more global amyloid burden (r = −0.20, 95% CI [−0.38 – −0.01], p = 0.049) and tau deposition in the entorhinal cortex (r = −0.38, 95% CI [−0.54 – −0.19], p < 0.001) and inferior-temporal lobe (r = −0.23, 95% CI [−0.41 – −0.02], p = 0.03). 3-month C3 slopes exhibited good discriminative ability to identify PACC-5 decliners (AUC 0.91, 95% CI [0.84–0.98]), which was better than baseline C3 (p < 0.001) and baseline PACC-5 scores (p = 0.02). …”
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“…Further studies are needed for inter-rater reliability and discriminant validity of the measurements determined by differences between different groups (HR vs control).…”
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“…The receiver operating characteristic (ROC) curve was used to identify the AFP score model with or without other risk factors to discriminate patients. Kaplan-Meier and Cox’s analyses were performed to pinpoint risk factors for overall survival (OS) and disease-free survival (DFS) in the patients. …”
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“…A statistical system based on the point-biserial correlation and logistic regression analysis was used for the reduction and selection of the features. Discriminant analysis was used, instead, to obtain the predictive model using the k-fold strategy to split data into training and validation sets. …”
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“…Discriminatory metabolic features were identified through partial least squares discriminant analysis (PLS-DA), hierarchical clustering analysis (HCA), and generalized linear regression models. …”
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“…Under the ROC curve, plasma C1q levels significantly discriminated the development of poor prognosis (area under ROC curve 0.795; 95% confidence interval, 0.703–0.869; P<0.001). …”
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“…Here we propose a fast and standardized immunophenotypical classification score (Piescore) that may discriminate between luminal, basal, or neu-like UC as a surrogate of molecular profile, and we describe, for the first time, an intratumoral phenotypical switch in tissue protein expression, from non-muscle to muscle-invasive progression. …”
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“…Through orthogonal projections to latent structures discriminant analysis (OPLS-DA) model analysis, its metabolomic data have excellent predictability and stability. …”
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“…Unsupervised principal component analysis and supervised orthogonal partial least squares discriminant analysis based on the quantitative proteome of the serum and serum exosome samples could distinguish the healthy control and intrahepatic cholangiocarcinoma groups well, which illustrates that the two types of samples both have potential in the diagnosis of intrahepatic cholangiocarcinoma. …”
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“…The global transcription profile (expression levels of the 28 genes studied simultaneously) allowed us to discriminate between sCRC tumours and nontumoral colonic tissues. …”
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“…Neither Aβ42/Aβ40 nor hepatic function parameters displayed sufficient power in discriminating BA from choledochal cysts (CC); however, combinations of Aβ42/Aβ40 + GGT along with any other hepatic function parameters could differentiate BA from CC-cholestasis (AUC = 1.000, p < 0.05) with a cut-off value as 0.02371, −0.28387, −0.34583, 0.06224, 0.01040, 0.06808, and 0.05898, respectively. …”
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“…The value of the AUC was 0.852, suggesting that model has a decent discriminative performance. Desulfovibrio piger ranked the highest in this model. …”
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“…IMPORTANCE: Acute respiratory infections (ARIs) account for most outpatient visits. Discriminating bacterial vs viral etiology is a diagnostic challenge with therapeutic implications. …”
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“…Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA) plots identified microRNAs MIR200B, MIR409, MIR30B, and MIR154A in the liver and miRNAs MIR26B, MIR29A, MIR125B, and MIR127 in muscle and several uncharacterized ncRNAs as signatures of prenatal BPA exposure. …”
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“…BACKGROUND: Thyrotropin secreting pituitary adenoma (TSHoma) of the pituitary specific transcription factor-1 (PIT-1) lineage, is the rarest subtype of pituitary neuroendocrine tumours (pitNETs). TSHomas must be discriminated from primary hyperthyroidism and can cause morbidity through thyrotoxicosis or local mass effect. …”
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