Ensemble deep clustering that aggregates multi-dimension embeddings, fused with traditional clustering, ranks best among 14 methods on heart failure EHR cohorts and supports sex-specific analysis.
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Vine copulas decompose multivariate EHR distributions into hierarchical bivariate conditional dependencies for variable ranking, subset selection, and probabilistic mining of comorbidities.
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Mining Electronic Health Records to Investigate Effectiveness of Ensemble Deep Clustering
Ensemble deep clustering that aggregates multi-dimension embeddings, fused with traditional clustering, ranks best among 14 methods on heart failure EHR cohorts and supports sex-specific analysis.
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Vine Copulas for Analyzing Multivariate Conditional Dependencies in Electronic Health Records Data
Vine copulas decompose multivariate EHR distributions into hierarchical bivariate conditional dependencies for variable ranking, subset selection, and probabilistic mining of comorbidities.