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Overview intra class correlation values between observers across methods.

NIAID Data Ecosystem2026-03-10 收录

数据链接：

https://figshare.com/articles/dataset/Overview_intra_class_correlation_values_between_observers_across_methods_/4550182 数据链接链接失效反馈

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资源简介：

Overview intra class correlation values between observers across methods.

应用场景：

创建时间：

2017-02-01

过程挖掘

一致性评估

This dataset contains a variety of publicly available real-life event logs. We derived two types of Petri nets for each event log with two state-of-the-art process miners : Inductive Miner (IM) and Sp

DataCite Commons2025-06-01 更新300

Reliability among 10 survey examiners using the WHO standardized set of slides.

一致性评估

医学图像分级可靠性

*agreement with our gold standard (WHO standardized slides). **Combined kappa for grading all three signs (TF, TI and TS).

NIAID Data Ecosystem60

Supplementary Material for: Reducing Inter-Rater Variability in the Assessment of Nuchal Translucency Image Quality

医学影像评估

一致性评估

Introduction: Standardization of first-trimester nuchal translucency (NT) image acquisition is crucial to the success of screening for Down syndrome. Rigorous audit of operator performance and

DataCite Commons2020-09-02 更新40

Criteria for reporting methodological quality and consistency (adjusted from the criteria provided by van Tulder et al.[23]).

研究质量评价标准

一致性评估

Criteria for reporting methodological quality and consistency (adjusted from the criteria provided by van Tulder et al.[23]).

NIAID Data Ecosystem70

Indices of human inter-rater agreement reported in the literature compared with the performance achieved by our proposed deep-learning approach.

一致性评估

深度学习性能

Indices of human inter-rater agreement reported in the literature compared with the performance achieved by our proposed deep-learning approach.

NIAID Data Ecosystem60