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Article

Synthesize Extremely High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model

2023-03-10

Abstract excerpt

<title>Abstract</title> <p>Synthetic electronic health records (EHRs) that are both realistic and preserve privacy can serve as an alternative to real EHRs for machine learning (ML) modeling and statistical analysis. However, generating high-fidelity and granular electronic health record (EHR) data in its original, highly-dimensional form poses challenges for existing methods due to the complexities inherent in h...

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Literature Corpus work
df580c50-94e2-5b2b-b5ac-cd4bade638e1
DOI
10.21203/rs.3.rs-2644725/v1
Open publication

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Synthesize Extremely High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language ModelDOI 10.21203/rs.3.rs-2644725/v1
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