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Temporal condition pattern mining in large, sparse electronic health record data: A case study in characterizing pediatric asthma

This study introduces a temporal condition pattern mining methodology to address the sparse nature of coded condition concept utilization in electronic health record data. As a validation study, we applied this method to reveal condition patterns surrounding an initial diagnosis of pediatric asthma. |