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Data augmentation method for modeling health records with applications to clopidogrel treatment failure detection
We present a novel data augmentation method to address the challenge of data scarcity in modeling longitudinal patterns in Electronic Health Records (EHR) of patients using natural language processing (NLP) algorithms.
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