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MeSH Review

ROC Curve

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Disease relevance of ROC Curve


Psychiatry related information on ROC Curve


High impact information on ROC Curve


Chemical compound and disease context of ROC Curve


Biological context of ROC Curve


Anatomical context of ROC Curve

  • The area under the ROC curve was 0.58 (P = 0.49) for the absolute neutrophil count, 0.84 (P = 0.007) for soluble Fcgamma receptor III levels, and 0.73 (P = 0.03) for G-CSF levels [25].
  • Although the area under the ROC curve for sputum ECP was greater than those for blood eosinophils and serum ECP, the differences could have occurred by chance (p > or = 0.1) [26].
  • Summary receiver operating characteristics (ROC) curves indicated a reasonable predictive performance toward IUI outcome, and, at cut-off levels between 0.8 to 5 million motile spermatozoa, the postwash TMC provided a substantial discriminative performance [27].
  • RESULTS: Serial estimates of fetal weight resulted in a significantly larger area under the ROC curve compared with the final aortic-middle cerebral PI ratio in the prediction of an abnormal mid-arm circumference-HC ratio and compared with the final AC, EFW, and umbilical artery PI in the prediction of all neonatal morphometric indices [28].
  • Using ROC analysis, fertilization in IVF (mature oocytes only) was compared to performance of the sperm in the sperm-zona pellucida binding test as expressed by hemizona index (HZI; [number of test sperm bound/number of control sperm bound] x 100) [29].

Associations of ROC Curve with chemical compounds


Gene context of ROC Curve


Analytical, diagnostic and therapeutic context of ROC Curve


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