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)