Clustering-Informed Shared-Structure Variational Autoencoder for Missing Data Imputation in Large-Scale Healthcare Data.
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DOI: 10.1002/sim.70335
Abstract: Despite advancements in healthcare data management, missing data in electronic health records (EHR) and patient‐reported outcomes remain a persistent challenge, limiting their usability in healthcare analytics. Conventional imputation methods often struggle to capture complex nonlinear… read more here.
Keywords: missing data; informed shared; shared structure; healthcare data ... See more keywords