Selected article for: "AUC curve and model performance"

Author: Cristina Menni; Ana Valdes; Maxim B Freydin; Sajaysurya Ganesh; Julia El-Sayed Moustafa; Alessia Visconti; Pirro Hysi; Ruth C E Bowyer; Massimo Mangino; Mario Falchi; Jonathan Wolf; Claire Steves; Tim Spector
Title: Loss of smell and taste in combination with other symptoms is a strong predictor of COVID-19 infection
  • Document date: 2020_4_7
  • ID: 8ffny4bk_21
    Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.05.20048421 doi: medRxiv preprint For our predictive model, using the R packages pROC and epiR, we further computed the area under curve (AUC) i.e. the overall diagnostic performance of the model, the sensitivity ("positivity in disease") i.e. the proportion of subjects who have the target condition (reference standard positive) and give .....
    Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.05.20048421 doi: medRxiv preprint For our predictive model, using the R packages pROC and epiR, we further computed the area under curve (AUC) i.e. the overall diagnostic performance of the model, the sensitivity ("positivity in disease") i.e. the proportion of subjects who have the target condition (reference standard positive) and give positive test results, and the specificity ("negativity in health") i.e. the proportion of subjects without a COVID-19 RT-PCR test that give negative model results.

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