Chart Review
Measure agreement between chart reviewers.
Whether your chart annotations come from humans, machine-learning, or coded data like ICD-10,
chart-review can compare them to reveal interesting statistics like:
Accuracy
- F1-score (agreement)
- Cohen's Kappa (agreement)
- Sensitivity and Specificity
- Positive (PPV) or Negative Predictive Value (NPV)
- False Negative Rate (FNR)
Confusion Matrix
- TP = True Positive (type I error)
- TN = True Negative (type II error)
- FP = False Positive
- FN = False Negative
Documentation
For guides on installing & using Chart Review, read our documentation.
Example
$ ls
config.yaml labelstudio-export.json
$ chart-review accuracy jill jane
Comparing 3 charts (1, 3–4)
Truth: jill
Annotator: jane
F1 Sens Spec PPV NPV Kappa TP FN TN FP Label
0.667 0.75 0.6 0.6 0.75 0.341 3 1 3 2 *
0.667 0.5 1.0 1.0 0.5 0.4 1 1 1 0 Cough
1.0 1.0 1.0 1.0 1.0 1.0 2 0 1 0 Fatigue
0 0 0 0 0 0 0 0 1 2 Headache
Contributing
We love 💖 contributions!
If you have a good suggestion 💡 or found a bug 🐛, read our brief contributors guide for pointers to filing issues and what to expect.
1 maintainer
Metadata
1 maintainer
Release files for chart-review 2.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| chart_review-2.6.0.tar.gz | 51.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| chart_review-2.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 88.5 kB
Release files / chart_review-2.6.0.tar.gz
| Download URL | chart_review-2.6.0.tar.gz |
|---|---|
| Size | 51.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Transparency logRelease files / chart_review-2.6.0-py3-none-any.whl
| Download URL | chart_review-2.6.0-py3-none-any.whl |
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| Size | 36.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
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