Area Under the CurveResearch

A single number summarising how well a test or model discriminates between outcomes.

AUC most often refers to the area under the ROC curve, a value from 0.5 (no better than chance) to 1.0 (perfect discrimination) summarising a test or predictive model's ability to distinguish between two outcomes (e.g., injured vs. not injured) across all decision thresholds. In pharmacokinetics and some dose-response contexts, AUC instead describes cumulative exposure over time (e.g., area under a concentration-time or load-time curve), so the intended meaning should be confirmed from context. As a single summary statistic it can obscure sensitivity/specificity trade-offs relevant to a specific clinical threshold.

• Effect of Time Since Baseline Data Collection, Mechanism of Injury, and Service Academy Sub-population on Concussion Risk Prediction in Military Service Academy Cadets and Midshipmen: An Observational Study · issue 001
• Identifying rotator cuff disorders through shoulder movement quality: An exploratory study using a single inertial measurement unit · issue 002
• Personalizing the Quadriceps Tendon Graft in Anterior Cruciate Ligament Reconstruction: A Novel, Continuous Method to Predict Graft Size Using Preoperative MRI. · issue 007

This guide was auto-drafted and is pending editorial review.