Haue, Holm et al. use unsupervised clustering to subgroup a large set of ischemic heart disease patients from their pre-existing diseases, covering the entire multimorbidity spectrum. They identify subgroups that have different risk profiles and are characterized by different patterns when looking at patient blood tests and genetic profiles.