Area under the roc curve - Open Access .click

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Sample Size Calculation Guide - Part 4: How to Calculate the Sample Size for a Diagnostic Test Accuracy Study based on Sensitivity, Specificity, and the Area Under the ROC Curve. [PDF]

Adv J Emerg Med, 2019
Negida A, Fahim NK, Negida Y.
europepmc +1 more source

Epitope‐Resolved Digital SERS Profiling of Structurally Dynamic Antigens via a Multi‐Epitope Bispecific Antibody Framework

Advanced Science, EarlyView.
A multi‐epitope digital surface‐enhanced Raman spectroscopy framework enables epitope‐resolved immunoprofiling by integrating bispecific antibody fragments with spectrally encoded nanotags. This approach decouples binding events into independent digital channels, allowing structure‐aware antigen analysis.
Jing Wang +4 more
wiley +1 more source

Optimizing area under the ROC curve using semi-supervised learning. [PDF]

Pattern Recognit, 2015
Wang S +5 more
europepmc +1 more source

ProSiteHunter: A Unified Framework for Sequence‐Based Prediction of Protein‐Nucleic Acid and Protein‐Protein Binding Sites

Advanced Science, EarlyView.
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou +8 more
wiley +1 more source

A Foundation Model Based CT Biomarker for Non‐Invasive Prediction of Response to Neoadjuvant Immunochemotherapy in Non‐Small Cell Lung Cancer

Advanced Science, EarlyView.
This study introduces a foundation model‐based biomarker for risk stratification of pathological response in non‐small cell lung cancer. A Vision Mamba super‐resolution model standardizes heterogeneous CT images. A multi‐task Swin Transformer then fine‐tunes a pre‐trained lung foundation model to jointly optimize tumor segmentation and response ...
Yanglan Xu +10 more
wiley +1 more source

Machine Learning‐Enhanced Ultrasensitive Immuno‐CRISPR Array Facilitates Early Diagnosis of Alzheimer's Disease by Detecting Multiple Plasma Biomarkers

Advanced Science, EarlyView.
This work presents a CRISPR‐based, ultrasensitive multiplex protein detection array capable of simultaneously analyzing six plasma biomarkers associated with Alzheimer's disease (AD). By integrating antibody‐mediated signal transduction, recombinase polymerase amplification, and spatially encoded CRISPR‐Cas12a, the system achieves detection sensitivity
Liding Zhang +9 more
wiley +1 more source

Performance of tests based on the area under the ROC curve for multireader diagnostic data. [PDF]

J Appl Stat
Hwang YT, Hsu YR, Su NC.
europepmc +1 more source

Computationally efficient confidence intervals for cross-validated area under the ROC curve estimates. [PDF]

Electron J Stat, 2015
LeDell E, Petersen M, van der Laan M.
europepmc +1 more source

Circulating Amino Acid Network Remodeling Reveals Systemic Metabolic Reprogramming Predictive of Colorectal Cancer Recurrence and Metastasis

Advanced Science, EarlyView.
Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee +9 more
wiley +1 more source

On use of partial area under the ROC curve for evaluation of diagnostic performance. [PDF]

Stat Med, 2013
Ma H, Bandos AI, Rockette HE, Gur D.
europepmc +1 more source

roc curve
area under the curve
area under curve

humans
area under the curve auc
auc

machine learning
receiver operating characteristic roc
algorithms