Specification
Feature dictionary: provider level fraud detection for federal healthcare programmes
- Identifier
AYENI-2026-0011 - Version1
- Published2026-05-30
- AccessTier 1: public
Description #
The complete specification of the feature space behind the provider level healthcare claims anomaly detection work: 29 entries covering identifiers, demographics, coverage, clinical indicators, financial fields, and engineered measurements, of which 19 are implemented in the published reference model and 10 specify a not yet implemented provider level aggregation layer. Documents the exact, order dependent computation for every engineered feature, an unresolved chronic condition coding ambiguity that can silently invert the health burden index, and the fairness restrictions that exclude race from any deployed scoring model.
Files #
| Path | Size | SHA-256 |
|---|---|---|
files/feature-dictionary-healthcare-provider-fraud-detection.pdf |
159,167 bytes | 3cff96f873397e067cd1989bf181879298ed471756237d49f1836785a51f15a7 |
Each file's SHA-256 is listed above. To confirm a download is unmodified: shasum -a 256 filename
Licence: CC BY 4.0