Data Augmentation Method for Modeling Health Records with Applications to Clopidogrel Treatment Failure Detection

The author introduces a novel data augmentation method to address data scarcity in modeling longitudinal patterns in Electronic Health Records (EHR) and demonstrates its effectiveness in improving the detection of clopidogrel treatment failures.