Box plot (left) and ROC curves for ANIm (right).

التفاصيل البيبلوغرافية
العنوان: Box plot (left) and ROC curves for ANIm (right).
المؤلفون: Cristian Aragón-Benedí (10428518), Pablo Oliver-Forniés (10428521), Felice Galluccio (10428524), Ece Yamak Altinpulluk (10428527), Tolga Ergonenc (10428530), Abdallah El Sayed Allam (10428533), Carlos Salazar (90068), Mario Fajardo-Pérez (10428536)
سنة النشر: 2021
المجموعة: Smithsonian Institution: Digital Repository
مصطلحات موضوعية: Immunology, Developmental Biology, Cancer, Science Policy, Infectious Diseases, Virology, Biological Sciences not elsewhere classified, IL -6 levels, RR, mortality, SDNN, COVID -19 patients, ANIm, i.e, analgesia nociception index, heart rate variability, limit value, heart rate variability monitoring, pilot study Introduction, ANI, HRV, Surgical Intensive Care Unit, time domain parameters
الوصف: Box plot represents the median values of ANIm in both groups. ROC curve demonstrates the ability of ANI to discriminate the mortality with an AUC = 0.980 at an ANIm threshold of 80 (sensitivity 100%, specificity 85.7%, positive predictive value 87.5%, negative predictive value 100%). ANIm, median analgesia nociception index; 0 death, survivor group; 1 death, non-survivor group.
نوع الوثيقة: still image
اللغة: unknown
Relation: https://figshare.com/articles/figure/Box_plot_left_and_ROC_curves_for_ANIm_right_/14293139
DOI: 10.1371/journal.pone.0249128.g002
الاتاحة: https://doi.org/10.1371/journal.pone.0249128.g002
Rights: CC BY 4.0
رقم الانضمام: edsbas.59014B91
قاعدة البيانات: BASE
الوصف
DOI:10.1371/journal.pone.0249128.g002