Subgrouping patients with ischemic heart disease by means of the Markov cluster algorithm
Based on prior disease profiles, unsupervised clustering robustly stratify patients with IHD in subgroups with similar clinical features and outcomes.
Authors
- Alex Hørby Christensen (ORCID: https://orcid.org/0000-0002-6855-1496)
- Søren Brunak (ORCID: https://orcid.org/0000-0003-0316-5866)
- David Westergaard (ORCID: https://orcid.org/0000-0003-0128-8432)
- Henrik Ullum (ORCID: https://orcid.org/0000-0001-7306-9058)
- Agnete Troen Lundgaard (ORCID: https://orcid.org/0000-0001-7447-6560)
- Erik Sørensen (ORCID: https://orcid.org/0000-0002-5002-9077)
- Lars Køber (ORCID: https://orcid.org/0000-0002-6635-1466)
- Piotr Jaroslaw Chmura (ORCID: https://orcid.org/0000-0002-9371-6918)
- Peter Christoffer Holm (ORCID: https://orcid.org/0000-0003-3363-5611)
- Amalie Dahl Haue (ORCID: https://orcid.org/0000-0001-7656-7976)
- Timo Röder (ORCID: https://orcid.org/0000-0001-6841-4056)
- Victorine Muse (ORCID: https://orcid.org/0000-0003-1583-6970)
- Peter Weeke (ORCID: https://orcid.org/0000-0001-9854-8864)
- Henning Bundgaard (ORCID: https://orcid.org/0000-0002-0563-7049)
- Ole Birger Pedersen (ORCID: https://orcid.org/0000-0003-2312-5976)
- Sisse Rye Ostrowski (ORCID: https://orcid.org/0000-0001-5288-3851)
- Karina Banasik (ORCID: https://orcid.org/0000-0003-2489-2499)
- Kasper Karmark Iversen (ORCID: https://orcid.org/0000-0003-0504-8487)
- Christian Holm Johansen (ORCID: https://orcid.org/0000-0001-8665-2111)
- Kenny Emil Aunstrup
Institutions
- Statens Serum Institut (DK)
- University of Copenhagen (DK)
- Novo Nordisk Foundation (DK)
- Herlev Hospital (DK)
- Copenhagen University Hospital (DK)
- Rigshospitalet (DK)
- Zealand University Hospital (DK)
- Zealand University Hospital Køge (DK)
Publication Details
- Journal
- Communications Medicine
- Published
- 2025-08-26
- DOI
- https://doi.org/10.1038/s43856-025-01077-1
- Citations
- 1
- Primary Topic
- Chronic Disease Management Strategies
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- Innovationsfonden
- Novo Nordisk
- NordForsk
- Novo Nordisk Fonden