Specialists' Diagnostic Accuracy on Listening to Deep Breath

A 5.5 KB dataset on figshare authored by Sue In Choi, last updated on May 13, 2026. It examines the diagnostic accuracy of medical specialists based on the auditory cue of a 'deep breath'. The data is provided in an XLS file format under a CC-BY-4.0 license.

Use Cases

• Evaluate specialist diagnostic performance based on auditory cues mentioned in the description
• Benchmark clinical assessment techniques for respiratory conditions
• Study the role of specific auscultation sounds in medical training

Strengths

• File size is precisely 5.5 KB, indicating a focused scope.
• License is explicitly CC-BY-4.0, permitting open reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare, author Sue In Choi

Freshness

Last updated 2026-05-13 17:40:37; freshness should be verified.