Package 'autoFlagR'
| Title: |
AI-Driven Anomaly Detection for Data Quality |
| Description: |
Automated data quality auditing using unsupervised machine
learning. Provides AI-driven anomaly detection for data quality
assessment, primarily designed for Electronic Health Records
(EHR) data, with benchmarking capabilities for validation and
publication. Methods based on: Liu et al. (2008)
<doi:10.1109/ICDM.2008.17>, Breunig et al. (2000)
<doi:10.1145/342009.335388>. |
| Authors: |
Vikrant Dev Rathore [aut, cre] |
| Maintainer: |
Vikrant Dev Rathore <[email protected]> |
| License: |
MIT + file LICENSE |
| Version: |
1.0.0 |
| Built: |
2026-05-16 07:04:43 UTC |
| Source: |
https://github.com/vikrant31/autoflagr |
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