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For each patient in the validation fold, we randomly selected 50% of their EHR features to infer their disease mixtures and then used the other 50% of the features to evaluate the log predictive likelihooda common metric to evaluate topic models 4,14,44 : where we inferred the variational expectations of the disease mixture and disease topics as: Sensible models should demonstrate improved predictive likelihood on held-out patients

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The targeted sequence was within the second exon of T4 (accession number: NC_000086), on chromosome X

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