Table 1_Ultrasonographic assessment of optic nerve sheath diameter on the affected and unaffected sides as a predictor of clinical deterioration at discharge in patients with large... by Changlan Li (704841)

“…A positive linear correlation was identified between ONSD values and discharge outcomes. The optimal cut-off for predicting deterioration was 5.54 mm for affected-side ONSD (sensitivity 81.3%, specificity 78.9%, AUC = 0.814) versus 5.57 mm for the unaffected-side (68.8, 78.9%, AUC = 0.757), with no significant AUC difference between sides. …”

Data Sheet 1_Using machine learning methods to investigate the impact of comorbidities and clinical indicators on the mortality rate of COVID-19.docx by Yueh-Chen Hsieh (22287187)

“…After implementing federated learning, the AUC of the Taipei cohort decreased to 0.90, while the performance of other cohorts improved to meet the required standards. …”

Data Sheet 1_Application of radiomics-based prediction model to predict preoperative lymph node metastasis in prostate cancer: a systematic review and meta-analysis.docx by Yanghuang Zheng (21575123)

“…The radiomics model for predicting LNM in PCa showed a pooled AUC value of 0.88 (95% confidence interval (CI) [0.85 - 0.91]), with a sensitivity and specificity of 0.81 (95% CI [0.64 - 0.91]) and 0.85 (95% CI [0.75 - 0.91]), respectively. …”

Table 1_Immunoglobulin G N-Glycome as a biomarker of mortality risk in Escherichia coli induced sepsis.docx by Huachen Wang (11272203)

“…The AUC value of the SOFA score combined with GP4 and GP7 was 0.85 (95%CI: 0.76 to 0.93) in predicting in-hospital mortality in patients with sepsis.…”

R scripts. by Ehsan Ghafouri (21688451)

“…MaxEnt model, built using 44 occurrence points and environmental data including bioclimatic factors and Digital Elevation Model (DEM), demonstrated an impressive Area Under the Curve (AUC) value of around 0.91 and a True Skill Statistic (TSS) value of 0.79, indicating excellent predictive performance. …”

Bioclimatic variables used in the study. by Ehsan Ghafouri (21688451)

“…MaxEnt model, built using 44 occurrence points and environmental data including bioclimatic factors and Digital Elevation Model (DEM), demonstrated an impressive Area Under the Curve (AUC) value of around 0.91 and a True Skill Statistic (TSS) value of 0.79, indicating excellent predictive performance. …”

Response Curves of environmental variables. by Ehsan Ghafouri (21688451)

“…MaxEnt model, built using 44 occurrence points and environmental data including bioclimatic factors and Digital Elevation Model (DEM), demonstrated an impressive Area Under the Curve (AUC) value of around 0.91 and a True Skill Statistic (TSS) value of 0.79, indicating excellent predictive performance. …”

Relative Variable Importance. by Ehsan Ghafouri (21688451)

“…MaxEnt model, built using 44 occurrence points and environmental data including bioclimatic factors and Digital Elevation Model (DEM), demonstrated an impressive Area Under the Curve (AUC) value of around 0.91 and a True Skill Statistic (TSS) value of 0.79, indicating excellent predictive performance. …”

Predicting the potential distribution of <i>Arisaema heterophyllum</i> in China under current and future climate change based on ArcGIS and MaxEnt model by Jing Xu (15337)

“…The model demonstrated high predictive accuracy, with an average Area Under the Curve (AUC) value of 0.951, indicating the reliability of our findings. …”

Table 1_Oral microbiome components predict response to neoadjuvant chemotherapy in triple-negative breast cancer patients.xlsx by Xiaoyan Fu (5578187)

“…A classifier based on these microbial biomarkers yielded an area under the curve (AUC) value of 77.3% (95% CI: 60.5%-94.2%), supporting the potential of the oral microbiome as a predictive tool for chemotherapy sensitivity in TNBC. …”

Data Sheet 1_Impact of the lipid–inflammation axis on endometriosis risk: a multicenter case–control study using mediation analysis.pdf by Yanan Duan (113608)

“…</p>Results<p>For each 1 mmol/L decrease in high-density lipoprotein cholesterol (HDL-C), EM risk increased by 55%. …”

Table 1_The clinical prediction model to distinguish between colonization and infection by Klebsiella pneumoniae.xlsx by Xiaoyu Zhang (62901)

“…The Random Forest model performed best among all indicators (accuracy 0.93, precision 0.98, Brier Score 0.06, recall 0.72, F1 Score 0.83, AUC 0.99). The importance of each factor was demonstrated using mean decrease in Gini. …”

Supplementary file 1_Tacrolimus exposure during the three-month period following allogeneic stem cell transplantation predicts overall survival.docx by Alzbeta Zavrelova (4885270)

“…These AUC_tc values were independent variables for overall survival in multivariate analysis, with RR of 3.01 (P = 0.0056), 3.22 (P = 0.0058), and 2.93 (P = 0.0184) for the whole three-month period, second month, and third month of therapy, respectively. …”

Data Sheet 1_Analysis of serum amino acids and tryptophan metabolites to predict hepatic encephalopathy in portal hypertension patients receiving a transjugular intrahepatic portal... by Li Bao (323211)

“…ROC multivariate analysis indicated that the combination of TRP, KYN and QA provied the better predictive value for HE occurrence in PH patients underwent TIPS (AUC = 0.92).…”

Data Sheet 1_Decoding the hypoxia-exosome-immune triad in OSA: PRCP/UCHL1/BTG2-driven metabolic dysregulation revealed by interpretable machine learning.zip by Weilong Ye (12984647)

“…Machine learning models, specifically XGBoost, were trained to evaluate biomarker performance, with model accuracy assessed by ROC curve analysis and AUC values. Immune cell infiltration was evaluated using single-sample Gene Set Enrichment Analysis (ssGSEA). …”

Table_1_Correlation between ratio of fasting blood glucose to high density lipoprotein cholesterol in serum and non-alcoholic fatty liver disease in American adults: a population b... by Xianjing Jin (19535434)

“…Finally, the receiver operating characteristic (ROC) analysis suggested that the area under the curve (AUC) of GHR (AUC = 0.731) significantly exceeded that of FBG and HDL-C.…”

Evaluation results. by Briya Tariq (19666901)

“…Material identification accuracy for iodine and hydroxyapatite (with and without metal inserts) remained consistent, minimally impacting AUC values. For demonstration purposes, the biological sample was also scanned with the stainless steel volar implant and cortical bone screw, and the images were objectively assessed to indicate the potential effectiveness of SPCCT in replicating real-world clinical scenarios.…”

Supplementary file 1_Protective and risk factors in daily life associated with cognitive decline of older adults.docx by Fang Tong (484200)

“…ROCs of the predictive model by logistic regression were plotted, with AUC values of 0.683 and 0.682, respectively, for the training and testing sets. …”

Dataset with steel insert. by Briya Tariq (19666901)

“…Material identification accuracy for iodine and hydroxyapatite (with and without metal inserts) remained consistent, minimally impacting AUC values. For demonstration purposes, the biological sample was also scanned with the stainless steel volar implant and cortical bone screw, and the images were objectively assessed to indicate the potential effectiveness of SPCCT in replicating real-world clinical scenarios.…”

Reference dataset. by Briya Tariq (19666901)

“…Material identification accuracy for iodine and hydroxyapatite (with and without metal inserts) remained consistent, minimally impacting AUC values. For demonstration purposes, the biological sample was also scanned with the stainless steel volar implant and cortical bone screw, and the images were objectively assessed to indicate the potential effectiveness of SPCCT in replicating real-world clinical scenarios.…”