Results 161 to 170 of about 302,402 (283)
Indole‐3‐acetic acid (3‐IAA) derived from gut P. distasonis binds to AhR in bladder cancer cells and downregulates FASN transcription, thereby increasing sensitivity to ferroptosis and suppressing the development of bladder tumors. Specifically, 3‐IAA treatment leads to an increase in the proportion of PC/PE‐PUFAs and a decrease in the proportions of ...
Weijia Li+16 more
wiley +1 more source
The ROC Curve and the Area under It as Performance Measures
Caren Marzban
openalex +1 more source
This work introduces E‐GeoGNN, a graph neural network framework that systematically encodes molecular structural information through three hierarchical correlation graphs: atom‐bond graph, bond‐angle graph, and angle‐dihedral graph. By incorporating quantum and geometric dual‐scale self‐supervised pretraining, Q‐GEM is proposed, a novel molecular ...
Zhijiang Yang+7 more
wiley +1 more source
Receiver Operating Characteristic (ROC) Curve: Practical Review for Radiologists
Seong Ho Park, Jin Mo Goo, Chan-Hee Jo
openalex +1 more source
A novel photoresponsive nanozyme sensor array, combining metal‐organic frameworks (MOFs) with advanced machine learning algorithms, provides a breakthrough in rapid neurotransmitter detection and disease diagnostics. This sensor array is capable of accurately identifying neurotransmitter profiles associated with neurological disorders, offering ...
Kun Yu+9 more
wiley +1 more source
Assessing the Alignment Between the Humpty Dumpty Fall Scale and Fall Risk Nursing Diagnosis in Pediatric Patients: A Retrospective ROC Curve Analysis. [PDF]
Cesare M+4 more
europepmc +1 more source
Ahead of the (ROC) Curve: A Statistical Approach to Utilizing Ex-Gaussian Parameters of Reaction Time in Diagnosing ADHD Across Three Developmental Periods. [PDF]
Galloway-Long H+2 more
europepmc +1 more source
How to Measure the Diagnostic Accuracy of Noninvasive Liver Fibrosis Indices: The Area Under the ROC Curve Revisited [PDF]
Jérôme Lambert+5 more
openalex +1 more source
Plasma metabolic detection combined with machine learning offers a precise (area under the curve of 0.874) and high‐throughput (<30 s) diagnosis for pathologic myopia (serious myopic macular degeneration). The biomarkers indicate the pathologic myopia‐associated systemic metabolic reprogramming, which exhibits specificity for myopic macular ...
Ziheng Qi+13 more
wiley +1 more source
Using the K-Means Node Clustering Method and ROC Curve Analysis to Define Cut-Off Scores for the Caregiving System Scale. [PDF]
Colledani D+3 more
europepmc +1 more source