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Prediction results of NAFLD models.
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创建时间:
2021-02-12
相关数据集
Diagnostic performance of simplified decision trees.
Diagnostic performance of simplified decision trees.
Figshare2020-05-13 更新60
The sensitivity, specificity and area under the ROC curve (AUC) for each study design in trials 1 and 2.
(0.05c = study design 1—no previous experience; 0.05c_500_90% = study design 2—moderate experience) The sensitivity, specificity and area under the ROC curve (AUC) for each study design in trials 1 an
NIAID Data Ecosystem30
Variables used to construct each of the NAFLD prediction models developed in IMI DIRECT.
ALT, alanine transaminase; AST, aspartate transaminase; BMI, body mass index; DBP, diastolic blood pressure; GGTP, gamma-glutamyl transpeptidase; Glucagonmin0, fasting glucagon concentration; HbA1c, h
Figshare2020-06-19 更新20
True Positive Rate And False Positive Rate Used To Generate S2_Fig3A And S2_Table6
In the attached file, first column corresponds to true positive (TP), second column corresponds to false positive (FP), third column corresponds to false negative (FN), fourth column corresponds to tr
Zenodo2016-12-02 更新30
Sensitivity, specificity, positive and negative predictive values of the logistic prediction models.
Sensitivity, specificity, positive and negative predictive values of the logistic prediction models.
Figshare2024-11-05 更新20



