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

Bibliographic Details
Published in:Intensive Care Medicine Vol. 45; no. 7; pp. 1025 - 1029
Main Authors: Castela Forte, José, Perner, Anders, van der Horst, Iwan C. C.
Format: editorial tables/charts Journal Article
Published: Springer Nature Jul2019
Online Access:View this record in EBSCOhost
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      dt: Jul2019
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      pub: Springer Nature
      place: New York, New York
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        atl: The use of clustering algorithms in critical care research to unravel patient heterogeneity.
      aug:
        au:
          Castela Forte, José
          Perner, Anders
          van der Horst, Iwan C. C.
        affil: Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, Groningen, The Netherlands
      sug:
        subj:
          Shock, Septic
          Cluster Analysis
          Critical Care
          Clustering Algorithms
          Echocardiography
      pubtype: Academic Journal
      doctype:
        editorial
        tables/charts
        Journal Article
      ougenre: Article
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    language: English
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