Reposted by Karina Banasik
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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.
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Subgrouping patients with ischemic heart disease by means of the Markov cluster algorithm - Communications Medicine
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.