Grouping symptoms into clusters and modeling each cluster with a separate latent class improves cause-of-death assignment and interpretability in verbal autopsy data.
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Flexible Bayesian Tensor Decomposition for Verbal Autopsy Data
Grouping symptoms into clusters and modeling each cluster with a separate latent class improves cause-of-death assignment and interpretability in verbal autopsy data.