“…The machine-learning algorithm was used by purity measure assumption to calculate the accuracy of serum transaminases and coagulation variables to discriminate between the fatal and survival groups. RESULTS: There were 4,069 dengue patients, of which 0.9% died in one week after illness onset (i.e., early mortality). …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Logistic regression, decision tree and linear discriminant analysis were performed for multivariable analysis, with similar results. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Marker validation analyses indicated that 25 specific markers can discriminate between the tetraploid Th. elongatum chromosomes and the chromosomes of other wheat-related species. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…The results of the classification between mild and moderate PD patients indicated that the foot tapping features were the most representative ones to discriminate (81.0% of accuracy). CONCLUSIONS: The results of this study have shown how a low-cost vision-based system can automatically detect subtle phenomena featuring the PD. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Demographic and biochemical data at diagnosis were collected to calculate Maddrey’s discriminant function (MDF) and model for end-stage liver disease (MELD) score upon admission and also on day 4. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Serum and urine-based ncRNA expression analysis was able to discriminate between patients with TNBC and controls. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Across both samples, females had higher social motivation and expressive social communication scores. Discriminant validity was strong given that across all SSDS subscales, the ASD sample had significantly higher impairment than both the typically developing group and the group with other clinical conditions, which in turn, had significantly higher impairment than the typically developing group. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…K-BILD was also able to discriminate between patients with different stages of disease (p < 0.002, Δscore > 7.4) and most results were comparable in patients with different time since diagnosis. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Overall, we showed that the random forest algorithm outperformed other machine learning algorithms including support vector machines, shrinkage discriminant analysis, gradient boosting machine and neural networks. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We approached this problem of unintended command generation by assuming that a greater effort by the user in a short-term imagery task would evoke a discriminative ERP response. Three tasks were defined: passive attention, counting, and pitch-imagery. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Here we determine the predictive ability of the structural connectome (SC), compared with global measures of white matter tract microstructure and clinical data, to discriminate language impaired patients with temporal lobe epilepsy (TLE) from TLE patients without language impairment. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Abnormal expression of any two of p53, p16, MUC1, and Smad4 could discriminate PanNECs from G3 PanNETs with 100% specificity and 87.5% sensitivity. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Principal coordinate analysis (PCoA) and Nonmetric multidimensional scaling (NMDS) revealed significant differences in gut microbial community structure between the normal weight group and the obese group. The liner discriminant analysis (LDA) effect size (LEfSe) analysis showed that fifty-five species of bacteria were abundant in the fecal samples of the normal weight group and forty-five species of bacteria were abundant in the obese group. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Mean and overall compartmental T-cell counts generated standard (binary: Low/High) and higher resolution (quaternary: 0–25, 25–50, 50–75, 75–100%) immune scores, which were used as explanatory features in neural network, support vector machine, and discriminant predictive modeling. Overall T-cell counts were significantly different between the three cohorts: CD3+ (p = <0.0001), CD8+ (p = <0.0001), CD45RO+ (<0.0001), FoxP3+ (p = <0.0001), and PD1+ (p = <0.0001), with LS-associated MMR-deficient tumors having highest infiltrations. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…A total of 136 variables were screened by successive statistical approaches including: partial least squares-discriminant analysis, multivariate analysis and mixed-effect models. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Alexander staining failed to discriminate between viable, fresh pollen, and non-viable pollen inactivated by ambient storage for >60 min. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…A sPA-TDI of 126 ms strictly discriminated between presence and absence of subclinical AF within 48 h after initiation of Holter-ECG-monitoring in ESUS patients. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…CBI was not significantly related to a drive for thinness (r  = − 0.12, p  = 0.06) or to dietary restraint (r  = − 0.05, p  = 0.39), supporting discriminant validity. CBI mediated the relationships between having a dermatologic condition and anxiety [point estimate of indirect effect 0.07, 95% confidence interval (CI) 0.02, 0.15] and depression (point estimate of indirect effect 0.04, 95% CI 0.01, 0.08). …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Among the other combinations, AFP plus GPC3 and DCP (0.871, 95% CI (0.833–0.903)) was the best at differentiating HCC from all controls. In discriminating very early stage and early stage HCC from all controls, the AUC of GPC3 (0.744, 95% CI (0.690–0.793); sensitivity 62.8%; specificity 83.3%) was better than that of AFP (0.723, 95% CI (0.668–0.774); sensitivity 67.3%; specificity 71.7%). …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…In Japan, trimethylamine-N-oxide (TMAO) and taurine, respectively, demonstrated area under the receiver operating characteristic curve (AUC) values of 0.81 and 0.78 in discriminating high against low fish intake, whereas homarine (a metabolite found in shellfish muscle) demonstrated an AUC of 0.80 for high/nonshellfish intake. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso