The use of clustering algorithms in critical care research to unravel patient heterogeneity
Intensive Care Med
.
2019 Jul;45(7):1025-1028.
doi: 10.1007/s00134-019-05631-z.
Epub 2019 May 6.
Authors
José Castela Forte
1
2
,
Anders Perner
3
,
Iwan C C van der Horst
4
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.
PMID:
31062051
DOI:
10.1007/s00134-019-05631-z
No abstract available
Publication types
Editorial
Comment
MeSH terms
Algorithms
Cluster Analysis
Critical Care
Echocardiography
Humans
Shock, Septic*