Selected article for: "ROC curve and specificity sensitivity"

Author: van Rijn, Anneloes L.; van Boheemen, Sander; Sidorov, Igor; Carbo, Ellen C.; Pappas, Nikos; Mei, Hailiang; Feltkamp, Mariet; Aanerud, Marianne; Bakke, Per; Claas, Eric C. J.; Eagan, Tomas M.; Hiemstra, Pieter S.; Kroes, Aloys C. M.; de Vries, Jutte J. C.
Title: The respiratory virome and exacerbations in patients with chronic obstructive pulmonary disease
  • Document date: 2019_10_24
  • ID: 0rupk21u_37
    Snippet: A ROC curve (Fig 2) , using Youden's index [26] demonstrated that the optimal sensitivity and specificity were achieved using a cut-off of 5 reads (96% (23/24) and 100% (1115/1120) respectively). Typing mNGS provides additional typing data, as compared to qPCR. Of the 13 rhinoviruses detected with mNGS, 6 (46.2%) were rhinovirus A, 2 (15.4%) rhinovirus B and 5 (38.5%) rhinovirus C. The three influenza viruses were assigned to be H3N2 strains by m.....
    Document: A ROC curve (Fig 2) , using Youden's index [26] demonstrated that the optimal sensitivity and specificity were achieved using a cut-off of 5 reads (96% (23/24) and 100% (1115/1120) respectively). Typing mNGS provides additional typing data, as compared to qPCR. Of the 13 rhinoviruses detected with mNGS, 6 (46.2%) were rhinovirus A, 2 (15.4%) rhinovirus B and 5 (38.5%) rhinovirus C. The three influenza viruses were assigned to be H3N2 strains by mNGS.

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