Medical Record Chart Review Calculator
Project description
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.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
chart_review-2.0.1.tar.gz
(37.0 kB
view details)
Built Distribution
File details
Details for the file chart_review-2.0.1.tar.gz
.
File metadata
- Download URL: chart_review-2.0.1.tar.gz
- Upload date:
- Size: 37.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f25dd485a5ad15f83d9a8fbce593beb5efc0ea88048b40165fb1c6d8013696a4 |
|
MD5 | 3c9d45617a462dd1e540f6eeef3f27cf |
|
BLAKE2b-256 | c4d7d94761e72500243f9c7693afe6bfcadd46a4d005d6cafd7213c5bec7b727 |
File details
Details for the file chart_review-2.0.1-py3-none-any.whl
.
File metadata
- Download URL: chart_review-2.0.1-py3-none-any.whl
- Upload date:
- Size: 27.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c92ab4a90c72dd996e9c698ca916df2e3415d896772e04f6f849a20d02c894dc |
|
MD5 | 1934f324a5135d2d56423b8bf8132b4a |
|
BLAKE2b-256 | 85ed3893215cfeb2cdbb337989c6b420d23b4bbe93902c17229c59e0d5f21842 |