Identifying congestion phenotypes using unsupervised machine learning in acute heart failure.

Rastogi T, Hutin O, Ter Maaten JM, Baudry G, Monzo L, Bresso E, Duarte K, Tromp J, Voors AA, Girerd N

DOI: 10.1093/ehjdh/ztaf065
Published: 2025 Sep
Container: European heart journal. Digital health
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/ehjdh/ztaf065,
  title = {Identifying congestion phenotypes using unsupervised machine learning in acute heart failure.},
  author = {Rastogi T and Hutin O and Ter Maaten JM and Baudry G and Monzo L and Bresso E and Duarte K and Tromp J and Voors AA and Girerd N},
  year = {2025},
  journal = {European heart journal. Digital health},
  doi = {10.1093/ehjdh/ztaf065},
  url = {https://doi.org/10.1093/ehjdh/ztaf065}
}

RIS

TY  - JOUR
TI  - Identifying congestion phenotypes using unsupervised machine learning in acute heart failure.
AU  - Rastogi T
AU  - Hutin O
AU  - Ter Maaten JM
AU  - Baudry G
AU  - Monzo L
AU  - Bresso E
AU  - Duarte K
AU  - Tromp J
AU  - Voors AA
AU  - Girerd N
PY  - 2025
JO  - European heart journal. Digital health
DO  - 10.1093/ehjdh/ztaf065
UR  - https://doi.org/10.1093/ehjdh/ztaf065
ER  -

APA

T, R., O, H., JM, T. M., G, B., L, M., E, B., K, D., J, T., AA, V., & N, G. (2025). Identifying congestion phenotypes using unsupervised machine learning in acute heart failure.. European heart journal. Digital health. https://doi.org/10.1093/ehjdh/ztaf065

Source records

pubmed · retrieved 2026-09-27T10:28:22.656Z