FIELD NOTES / Clinical Data Science
PerPAIN
Active DevelopmentEvidence C
Quantify spatial pain information from drawings.
Last reviewed 2026-10-19 · Non-sensitive overview of private work
Overview
Pain drawings · PerPAIN
Quantify spatial pain information from drawings.
Research Question
Quantify spatial pain information from drawings.
Technical Approach
Color-threshold segmentation, approximate anatomical regions, image feature extraction and exploratory prediction.
PythonOpenCVPillowscikit-learn
My Contribution
Built local image-to-table and exploratory analysis workflows.
Evidence
- Repository core, dependency and test/development records inspected during the 2026-10-19 audit. Evidence levels describe the available record, not clinical effectiveness.
Outputs
- Code and documented development artifacts. Private source and study data are not redistributed.
Current Status
Active DevelopmentEvidence C
Development evidence is available; no claim of clinical utility or production readiness is made.
Related Publications
No project-specific peer-reviewed publication is listed. Ongoing work is kept separate from the published bibliography.