Advanced Machine Learning Models for Gender-Specific Antidepressant Response Prediction: Overcoming Data Imbalance for Precision Psychiatry Depressive disorders are complex, multifactorial conditions ...
Avian influenza (AI) is a highly contagious viral disease affecting poultry and wild water birds, posing significant global challenges due to its high mortality rates and economic impacts. Highly ...
An AI tool appeared superior to two FDA-approved biomarkers for predicting how people with cancer will respond to immune ...
achieving a Receiver Operating Characteristic-Area Under Curve (ROC-AUC) value of 0.85–0.95 and a Feature Distribution Uniformity of 0.75–0.85, validating its accuracy and stability in feature ...
The study used gold-standard autopsy confirmation to show that a blood test for Alzheimer's disease accurately detected ...
Following acute myocardial infarction, eosinophil counts 5 to 7 days after onset are associated with risk of long-term mortality Eosinophil counts 5 to 7 days after onset in patients with acute ...
The first signature was made up by six genes, directly involved in ECM–receptor interaction: AGRN, DAG1, FN1, ITGA5, THBS3, and TNC (concordance index 0.61, logrank test p = 0.0164, 3-years ROC AUC = ...
Shipments of personal computers grew in 2024, fueled by businesses replacing old hardware and Microsoft's looming end of support for its Windows 10 operating system. Switching to the Linux ...
Certain slinky, sporty cars seem destined to be offered as convertibles but others – like this Volkswagen T-Roc Cabriolet – can seem like an evolution too far. That's especially true when you ...
Then the area under the ROC (AUC) was calculated. Pixel-level ROC and lesion-level ROC were defined as follows: Pixel-level ROC: taking each pixel as a sample, the ROC curve is calculated from the ...
An ROC curve that is nearer to this ideal is, thus, a more discriminating score. The area under the ROC curve (AUC) is thus a sensible measure of discrimination, which is directly related to the ...