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Showing 1 - 10 results of 10 for search '(( auc values decrease ) OR ((( ct values decrease ) OR ( _ values decrease ))))~', query time: 0.36s Refine Results
  1. 1

    Flow chart. by Abed al Hadi Krisht (19704098)

    Published 2024
    “…</p><p>Objective</p><p>The objectives of this study were to measure the prognostic value of the extent of lung parenchymal lesions on computed tomography (CT) and of several coagulation and inflammatory biomarkers, and to explore the characteristics of the patients depending on the extent of lung parenchymal lesions.…”
  2. 2

    S1 File - by Abed al Hadi Krisht (19704098)

    Published 2024
    “…</p><p>Objective</p><p>The objectives of this study were to measure the prognostic value of the extent of lung parenchymal lesions on computed tomography (CT) and of several coagulation and inflammatory biomarkers, and to explore the characteristics of the patients depending on the extent of lung parenchymal lesions.…”
  3. 3

    Supplementary Material for: The value of circulating tumor DNA in the prognostic diagnosis of bladder cancer: a systematic review and meta-analysis by figshare admin karger (2628495)

    Published 2025
    “…Conclusion: ctDNA demonstrates some clinical application value in the prognostic assessment of bladder cancer, and can assist in predicting patient recurrence and survival. …”
  4. 4

    Table 1_Development of a clinical prediction model for poor treatment outcomes in the intensive phase in patients with initial treatment of pulmonary tuberculosis.docx by Bin Lu (65603)

    Published 2025
    “…Logistic regression analysis identified several independent risk factors for poor treatment outcomes, including diabetes, cavities in the lungs, tracheobronchial TB, increased C-reactive protein, and decreased hemoglobin. The AUC values were 0.815 for the modeling group and 0.851 for the validation group. …”
  5. 5

    Evaluation results. by Briya Tariq (19666901)

    Published 2024
    “…Material identification accuracy for iodine and hydroxyapatite (with and without metal inserts) remained consistent, minimally impacting AUC values. For demonstration purposes, the biological sample was also scanned with the stainless steel volar implant and cortical bone screw, and the images were objectively assessed to indicate the potential effectiveness of SPCCT in replicating real-world clinical scenarios.…”
  6. 6

    Dataset with steel insert. by Briya Tariq (19666901)

    Published 2024
    “…Material identification accuracy for iodine and hydroxyapatite (with and without metal inserts) remained consistent, minimally impacting AUC values. For demonstration purposes, the biological sample was also scanned with the stainless steel volar implant and cortical bone screw, and the images were objectively assessed to indicate the potential effectiveness of SPCCT in replicating real-world clinical scenarios.…”
  7. 7

    Reference dataset. by Briya Tariq (19666901)

    Published 2024
    “…Material identification accuracy for iodine and hydroxyapatite (with and without metal inserts) remained consistent, minimally impacting AUC values. For demonstration purposes, the biological sample was also scanned with the stainless steel volar implant and cortical bone screw, and the images were objectively assessed to indicate the potential effectiveness of SPCCT in replicating real-world clinical scenarios.…”
  8. 8

    Dataset with aluminium insert. by Briya Tariq (19666901)

    Published 2024
    “…Material identification accuracy for iodine and hydroxyapatite (with and without metal inserts) remained consistent, minimally impacting AUC values. For demonstration purposes, the biological sample was also scanned with the stainless steel volar implant and cortical bone screw, and the images were objectively assessed to indicate the potential effectiveness of SPCCT in replicating real-world clinical scenarios.…”
  9. 9

    Impact of pathogen shedding characteristics on estimation accuracy. by Yun Lin (77976)

    Published 2025
    “…Dots and horizontal lines represent median and interval estimates of the AUC over 100 bootstrapped samples(see Methods), with the interval estimates taken as the 2.5 and 97.5 percentiles of all 100 estimated AUC values during bootstrapping. …”
  10. 10

    Supplementary Material for: Exploring the ability of novel choroidal biomarkers in predicting treatment outcomes of polypoidal choroidal vasculopathy by Zhang Y. (2828780)

    Published 2024
    “…Using ROC curves, we found that the CVI value demonstrated superior predictive ability compared to the CT value, with AUC of 0.842 and the best cut-off value of 0.445. …”