Machine learning model to diagnose PCG. by Mingxi Shao (10066570)

“…The XGBoost or KNN model using TAS alone achieved the highest AUC (0.74) in five-fold cross-validation.</p><p>Conclusion</p><p>The decrease in TAS levels and the increase in H₂O₂ and MDA levels are found to be correlated with PCG, and the results indicate that oxidative stress plays a part in congenital glaucoma onset.…”

ROC curves of TAS + SOD + MDA to diagnose PCG. by Mingxi Shao (10066570)

“…The XGBoost or KNN model using TAS alone achieved the highest AUC (0.74) in five-fold cross-validation.</p><p>Conclusion</p><p>The decrease in TAS levels and the increase in H₂O₂ and MDA levels are found to be correlated with PCG, and the results indicate that oxidative stress plays a part in congenital glaucoma onset.…”

Missing value percentage for variables. by Xin Liu (43569)

<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

“…<p dir="ltr">The CSV file 'Eyreetal_DrainingVein_SourceData' contains the averaged time series traces and extracted metrics from individual experiments used across Figures 1-5 in the manuscript "Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins". The following acronyms included in the CSV file are defined as follows: Hbt is total hemoglobin, Art is artery region, DV is draining vein region, WV is whisker vein region, SEM is standard error mean, TS is time series, max peak is maximum peak, min peak is minima, AUC is area under the curve, WT is wild-type, AD is Alzheimer's disease, ATH is atherosclerosis and MIX is mixed AD/atherosclerosis. …”

Flow diagram of participants selection. by Wei Huang (36889)

“…Each10 units increase in BRI, ASM/ BMI decreased by 29% (β = −0.29,95% CI: −0.31, −0.28, <i><i>p</i></i> value < 0.0001). …”

Minimal data set. by Wei Huang (36889)

“…Each10 units increase in BRI, ASM/ BMI decreased by 29% (β = −0.29,95% CI: −0.31, −0.28, <i><i>p</i></i> value < 0.0001). …”

Weighted comparison of baseline characteristics. by Wei Huang (36889)

“…Each10 units increase in BRI, ASM/ BMI decreased by 29% (β = −0.29,95% CI: −0.31, −0.28, <i><i>p</i></i> value < 0.0001). …”

Effect of oral potassium supplementation on urinary potassium excretion and its diagnostic value for primary aldosteronism by Ke Zhang (115386)

“…The AUC for 24 h USR and 24 h UK before repletion in predicting PA were 0.788 and 0.652, respectively.…”

Sensitivity analysis of LMR thresholds based on ROC curves for associated variables. by Daysi Zulema Diaz-Obregón (22537744)

(A-H). Case 1: primary subcutaneous facial alveolar echinococcosis. by Louis Bohard (22250661)

Trend coefficients and AUC statistics across four control populations (“Pop’n 1” to “Pop’n 4”) and four warming populations (“Pop’n 5” to “Pop’n 8”), as calculated from empirical time series during the approach to criticality. Each statistical metric was calculated within fifteen-day sliding windows, throughout the pre-critical interval. Given that the temperature of the system increased to 12°C on day sixty, we also considered three pre-critical intervals: Days 1 to 60, Days 20 to 60, and Days 30 to 60. Here, we show analyses of empirical time series performed within the sixty-day pre-critical interval. See analyses within the forty- and thirty-day pre-critical intervals in S7 Fig. To evaluate trends in these metrics, we calculated Kendall’s rank correlation coefficient during the pre-critical interval. Negative values indicate a decreasing trend prior to local bifurcation, while positiv by Madeline Jarvis-Cross (22394247)

“…To evaluate trends in these metrics, we calculated Kendall’s rank correlation coefficient during the pre-critical interval. Negative values indicate a decreasing trend prior to local bifurcation, while positiv</p>…”

Table 1_The diagnostic and prognostic value of CXCL13, CXCL10, and CXCL8 in patients with neurosyphilis.docx by Hongjing Guan (172193)

“…The results showed that the AUC value of MODEL1 was 0.888, and the calibration curve and DCA curve demonstrated good accuracy and clinical benefits of the model, demonstrating good predictive performance. …”

Image 3_The diagnostic and prognostic value of CXCL13, CXCL10, and CXCL8 in patients with neurosyphilis.jpeg by Hongjing Guan (172193)

“…The results showed that the AUC value of MODEL1 was 0.888, and the calibration curve and DCA curve demonstrated good accuracy and clinical benefits of the model, demonstrating good predictive performance. …”

Image 1_The diagnostic and prognostic value of CXCL13, CXCL10, and CXCL8 in patients with neurosyphilis.jpeg by Hongjing Guan (172193)

“…The results showed that the AUC value of MODEL1 was 0.888, and the calibration curve and DCA curve demonstrated good accuracy and clinical benefits of the model, demonstrating good predictive performance. …”

Image 2_The diagnostic and prognostic value of CXCL13, CXCL10, and CXCL8 in patients with neurosyphilis.jpeg by Hongjing Guan (172193)

“…The results showed that the AUC value of MODEL1 was 0.888, and the calibration curve and DCA curve demonstrated good accuracy and clinical benefits of the model, demonstrating good predictive performance. …”

Table 3_The diagnostic and prognostic value of CXCL13, CXCL10, and CXCL8 in patients with neurosyphilis.docx by Hongjing Guan (172193)

“…The results showed that the AUC value of MODEL1 was 0.888, and the calibration curve and DCA curve demonstrated good accuracy and clinical benefits of the model, demonstrating good predictive performance. …”

Table 2_The diagnostic and prognostic value of CXCL13, CXCL10, and CXCL8 in patients with neurosyphilis.docx by Hongjing Guan (172193)

“…The results showed that the AUC value of MODEL1 was 0.888, and the calibration curve and DCA curve demonstrated good accuracy and clinical benefits of the model, demonstrating good predictive performance. …”

(A) Kaplan-Meier survival curves showing 28-day survival rates between the two groups;(B) ROC analysis of death risk factors in SFTS patients with HLH. by Bo Zhang (6559)

Supplementary Material for: The value of circulating tumor DNA in the prognostic diagnosis of bladder cancer: a systematic review and meta-analysis by figshare admin karger (2628495)

“…A random-effects model was used to calculate SEN, SPE, PLR, NLR, DOR, and AUC, and the heterogeneity among studies and publication bias were also assessed. …”

Exclusion and enrollment summary from NHANES. by Lu Han (151620)

“…<div><p>Background</p><p>Blood-cell-based inflammatory biomarkers are increasingly recognized for their diagnostic value in infections due to their clinical accessibility. …”