The use of clustering algorithms in critical care research to unravel patient heterogeneity

José Castela Forte^{1

2}, Anders Perner³, Iwan C C van der Horst⁴

Affiliations

¹ Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, Groningen, The Netherlands.
² Department of Critical Care, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
³ Department of Intensive Care, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
⁴ Department of Critical Care, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. i.c.c.van.der.horst@umcg.nl.

Editorial

José Castela Forte et al. Intensive Care Med. 2019 Jul.

. 2019 Jul;45(7):1025-1028.

doi: 10.1007/s00134-019-05631-z. Epub 2019 May 6.

José Castela Forte^{1

2}, Anders Perner³, Iwan C C van der Horst⁴

¹ Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, Groningen, The Netherlands.
² Department of Critical Care, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
³ Department of Intensive Care, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
⁴ Department of Critical Care, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. i.c.c.van.der.horst@umcg.nl.

No abstract available

Comment on

Cardiovascular clusters in septic shock combining clinical and echocardiographic parameters: a post hoc analysis.
Geri G, Vignon P, Aubry A, Fedou AL, Charron C, Silva S, Repessé X, Vieillard-Baron A. Geri G, et al. Intensive Care Med. 2019 May;45(5):657-667. doi: 10.1007/s00134-019-05596-z. Epub 2019 Mar 19. Intensive Care Med. 2019. PMID: 30888443