Identifying multi-resolution clusters of diseases in ten million patients with multimorbidity in primary care in England.

Our method provides a tool for clustering diseases at different levels of resolution from co-occurrence patterns in high-dimensional electronic health records, which could be used to facilitate discovery of associations between diseases in the future.