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.

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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

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article

Subgrouping patients with ischemic heart disease by means of the Markov cluster algorithm

Alex Hørby Christensen, Søren Brunak, David Westergaard, Henrik Ullum et al.
1 citations
Communications Medicine
Chronic Disease Management Strategies
1.35
article

Subgrouping patients with ischemic heart disease by means of the Markov cluster algorithm

Alex Hørby Christensen, Søren Brunak, David Westergaard, Henrik Ullum, Agnete Troen Lundgaard, Erik Sørensen, Lars Køber, Piotr Jaroslaw Chmura, Peter Christoffer Holm, Amalie Dahl Haue, Timo Röder, Victorine Muse, Peter Weeke, Henning Bundgaard, Ole Birger Pedersen, Sisse Rye Ostrowski, Karina Banasik, Kasper Karmark Iversen, Christian Holm Johansen, Kenny Emil Aunstrup
article en
1 citations

Abstract

Based on prior disease profiles, unsupervised clustering robustly stratify patients with IHD in subgroups with similar clinical features and outcomes.

Communications MedicineVol. 5(1)
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)
Innovationsfonden, Novo Nordisk, NordForsk, Novo Nordisk Fonden
Openalex Percentile: Top 16%
Chronic Disease Management Strategies
1.35
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