NPV = (number of true-negatives/[number of true-negatives + number of false-negatives]). Accuracy score: (Sensitivity + specificity + PPV + NPV) × 100. Comprehensive score: Number of monograph ...

NPV = (number of true-negatives/[number of true-negatives + number of false-negatives]). Accuracy score: (Sensitivity + specificity + PPV + NPV) × 100. Comprehensive score: Number of monograph ...

Lung ultrasound (LUS) may be an effective screening tool for interstitial lung disease in patients with asymptomatic rheumatoid arthritis.

A new study published in The Lancet eClinicalMedicine journal identified an AI-driven model that can successfully forecast ...

The primary objective of this study was to evaluate the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of ROPScore and WINROP for predicting the risk of ...

Researchers developed an AI model that analyzes ECG data from wearable monitors, providing a non-invasive solution for ...

Diabetes definition for adults varied by data source, including physician claims (sensitivity ranged from 26.9% to 97%, specificity ranged from 94.3% to 99.4%, positive predictive value (PPV) ranged ...

We estimated cut-offs for the three scores, sensitivity, specificity, positive and negative predictive values (PPV, NPV), and area under the receiver operating characteristic curve (AUROC). Results: ...

Managing adequate intakes of calcium during pregnancy is important in several physiological processes, and reduces the risk ...

We calculated the positive predictive value (PPV), negative predictive value (NPV), sensitivity and specificity for the overall algorithm and each component (primary diagnosis code (ICD-9), DRG code ...