Trends for average AUC for (A) different prediction window and (B) different observation window for each model. by Chunliang Jiang (22477803)

Subjects:

Disruption of <i>plasmepsin</i> loci leads to loss of AUC. by Breanna Walsh (21800207)

“…<p>Parasites were exposed to increasing levels of PPQ for 84 h and survival was measured by increased DNA content. …”

Mean(SD) AUC-ROC for Study Population and Demographic Subgroups by Classification Algorithm. by Elizabeth A. Campbell (3019293)

Subjects:

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:

Patient characteristics of five subjects undergoing bariatric surgery during treatment with gabapentin (patients 1-2) or pregabalin (patients 3-5). by Georgios Schoretsanitis (4242865)

Subjects:

Pharmacokinetic parameters preoperatively (baseline) and 1, 6 and 12 months postoperatively. In patients not using the same dose throughout the study, concentrations were adjusted... by Georgios Schoretsanitis (4242865)

Subjects:

Pharmacokinetic parameters at baseline (preoperatively) and 1, 6 and 12 months after bariatric surgery in two patients treated with gabapentin (patients 1-2) and three patients tre... by Georgios Schoretsanitis (4242865)

Subjects:

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)

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:

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)

Video 1_The clinical application value of mixed reality in robotic laparoscopic partial nephrectomy.mp4 by Xin Chang Zou (20129301)

“…All patients underwent mid-abdominal CT plain scans and enhancements. The MR group utilized three-dimensional reconstruction of CT data and employed 3D tablets and HoloLens glasses for preoperative discussions, surgical planning, and intraoperative guidance. …”

Ct values and gene copies measured for each pathogen during field work, alongside national surveillance data; pH and NH3-N characterisation. by Jay C. Bullen (10232606)

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. …”

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. …”

Combination of IL-6 and PTX3, in addition to subject high-risk demographics, improve the AUC of the ROC curve and increase predictive power of the model to identify subjects who wi... by Josh Poorbaugh (12263578)

Fig 3 - Increased sagittal abdominal diameter is associated with a higher risk of kidney stones by Wei Song (30780)

ROC-AUC plot comparison of seven ML models. 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. …”