Edmonton Symptom Assessment System: Clinical Symptom Data

The Edmonton Symptom Assessment System (ESAS) dataset, authored by Éduardo Bruera, is a clinical assessment tool. It likely contains patient-reported symptom intensity scores across multiple domains. The dataset is hosted on paperswithcode and is licensed as closed.

Use Cases

• Train a model to predict patient symptom trajectories from assessment scores (inferred from domain, verify after download)
• Analyze correlations between different symptom domains in clinical populations (inferred from domain, verify after download)
• Develop a tool for automating severity classification from structured symptom reports (inferred from domain, verify after download)

Strengths

• Published on paperswithcode, a platform for machine learning datasets.
• Authored by a known researcher (Éduardo Bruera) in the field.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, column definitions, and sample data are unknown, limiting suitability assessment.
• License is closed, which may restrict usage.

Provenance

Source

Éduardo Bruera