Inter-Reader Agreement of Diagnosis Between Two Clinical Reviewers

Jaeyoung Huh published a dataset on figshare in April 2026 measuring inter-reader agreement of diagnosis between two reviewers. The dataset is stored in an XLS file and is 5.5 KB in size. It is licensed under CC-BY-4.0.

Use Cases

• Calculate inter-rater reliability metrics like Cohen's kappa based on the agreement data.
• Analyze sources of diagnostic disagreement between clinical reviewers.
• Benchmark diagnostic consistency for quality assurance in medical settings.
• Train or validate models for automated diagnosis that account for human reviewer variance.

Strengths

• Dataset is openly licensed under CC-BY-4.0, permitting broad reuse.
• File size is 5.5 KB, indicating a compact and likely focused dataset.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Jaeyoung Huh via figshare

Collection Method

Likely contains data from a study comparing diagnostic assessments between two reviewers.

Time Range

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Freshness

Last updated 2026-04-28 17:44:27; freshness should be verified.

Geography

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