Evaluation of the combined predictive value of multiple indicators based on diaphragmatic ultrasound using logistic regression and ROC curve in weaning from mechanical ventilation in pediatric patients. [PDF]
Ge H, Zhang A, Teng Y, Hu L.
europepmc +1 more source
Optimizing area under the ROC curve using semi-supervised learning
Shijun Wang +5 more
semanticscholar +1 more source
This study presents a Kolmogorov–Arnold network (KAN)‐powered nanoplasmonic biosensing platform for ultrasensitive detection of small extracellular vesicles in serum, enabling highly accurate pancreatic cancer screening. The method achieves an area under the curve (AUC) of 0.99 in a large clinical cohort, offering a robust and interpretable deep ...
Jiaheng Zhu +21 more
wiley +1 more source
Performance Analysis of Anaplasma Antibody Competitive ELISA Using the ROC Curve for Screening of Anaplasmosis in Camel Populations in Egypt. [PDF]
Parvizi O +4 more
europepmc +1 more source
The fully automated CLIA demonstrates high sensitivity and specificity for plasma Elafin, achieving 88% diagnostic accuracy and an AUC of 0.92 for psoriasis detection in a multicenter cohort. The assay reliably distinguishes psoriasis from other dermatoses, objectively stratifies disease severity, and allows longitudinal monitoring, supporting its ...
Jingkun Yi +8 more
wiley +1 more source
Time‑dependent ROC curve analysis to determine the predictive capacity of seven clinical scales for mortality in patients with COVID‑19: Study of a hospital cohort with very high mortality. [PDF]
Mendoza-Hernandez MA +13 more
europepmc +1 more source
Musculoskeletal Consequences in Cyber-Addicted Students - Is It Really A Matter of Health? A ROC Curve Analysis for Prioritizing Risk Factors. [PDF]
Heidarimoghadam R +6 more
europepmc +1 more source
Is the area under an ROC curve a valid measure of the performance of a screening or diagnostic test?
N. Wald, JP Bestwick
semanticscholar +1 more source
Aqueous solubility governs drug delivery and bioavailability, yet its prediction remains challenging. Utilizing the largest curated dataset of drug‐like molecules, prediction models are constructed through dual‐perspective benchmarking. Stacking methods outperform advanced deep learning due to data constraints. These validated models enabled systematic
Qilin Zhu +8 more
wiley +1 more source
A Cas12a@MnO2 nanosponge (hMNS) nanoprobe is engineered to overcome the intracellular delivery and kinetic barrier of the conventional CRISPR/Cas12a system via GSH‐responsive release and Mn2⁺‐enhanced trans‐cleavage. It enables preamplification‐free detection of mRNA with single‐cell sensitivity, differentiation of mRNA expression between breast cancer
Wen‐jing Liu +3 more
wiley +1 more source

