ROC curve and AUC for all other models. by Ahood Alazwari (12160802)

“…<div><p>The increasing incidence of type 1 diabetes (T1D) in children is a growing global concern. …”

Radiation can decrease the expression of the SCFAs in colon contents. by Liying Zhang (102453)

Importance of facilitating dispersal for mammals with 4.5°C warming. by Rhosanna L. M. Jenkins (11167230)

Importance of facilitating dispersal for birds with 4.5°C warming. by Rhosanna L. M. Jenkins (11167230)

The analysis of AUC values of apolipoprotein concentrations of patients with atrial fibrillation (before and 24 h after cryoballoon ablation (CBA) therapy) and control individuals... by Patrycja Bielawiec (20826799)

The analysis of AUC values of sphingolipid concentrations of patients with atrial fibrillation (before and 24 h after cryoballoon ablation (CBA) therapy) and control individuals in... by Patrycja Bielawiec (20826799)

ROC curves separated by mutations that decrease in volume from mutations that increase in volume. by Christopher Negron (1344885)

“…The tables on the right list the area under the curve (AUC) values along with corresponding 95% confidence interval (CI) for the AUCs.…”

Deletion of TAL does not decrease GNG flux. by Julie Kovářová (4114573)

Area Under the Curve (AUC) values from the sensitivity analysis of the risk index for each of the Big Four snake species at the state level from present to projected future climate... by Imon Abedin (22170820)

Area Under the Curve (AUC) values from the sensitivity analysis of the risk index for each of the Big Four snake species at the district level from present to projected future clim... by Imon Abedin (22170820)

Decreased deaminase activity in A12-infected cells despite a high level of A3B protein. by Noémie Lejeune (9243785)

Trends in AUC values for different observation windows and prediction windows for (A) Random Forest, (B) Logistic Regression, (C) XGBoost, and (D) Naïve Bayes four machine learning... by Chunliang Jiang (22477803)

Subjects:

Comparison of the MLTD and MDD scores of text before and after hypernym substitution using the GPT-J-6B, Programmatic+AI, and T5 approaches. by Karl Swanson (3580583)

Studies with large effect sizes tend to have low samples sizes. by Jeff C. Clements (9161831)

AUC statistics comparing statistical trends in control and test populations. by Madeline Jarvis-Cross (22394247)

“…<p>To evaluate statistical trends, we calculated Kendall’s rank correlation coefficient during the pre-critical interval (here, days one to sixty), and compared control (constant temperature, non-epidemic) and warming (warming treatment, epidemic emergence) coefficients across simulations and experimental populations by calculating the area under the curve (AUC) statistic. Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger trends. …”

Original datasets for providing ROC-AUC curves. by Xueliang Guo (4797057)

“…By employing skip connections, the model effectively integrates the high-resolution features from the encoder with the up-sampling features from the decoder, thereby increasing the model’s sensitivity to 3D spatial characteristics. …”

Relationship between the predicted probability of TE and PRU value adjusted for values of the clinical model. by Eiji Higashi (10573548)

Receiver operating characteristic curve with mean area under curve (AUC) for <i>R</i>. <i>webbianum</i>. by Ishfaq Ahmad Wani (11726141)

Body mass index (BMI), body fat, total body water and muscle mass at baseline (preoperatively) and 1, 6 and 12 months after bariatric surgery in two patients treated with gabapenti... by Georgios Schoretsanitis (4242865)

Subjects:

Individual time-concentration plots at baseline (preoperatively) and 1, 6 and 12 months postoperatively. by Georgios Schoretsanitis (4242865)

Subjects: