Informing future intensive care trials with machine learning

Affiliations

¹ Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK; Intensive Care Unit, Charing Cross Hospital, London, UK. Electronic address: m.komorowski14@imperial.ac.uk.
² Intensive Care Unit, Arras Hospital, Arras, France.

Free article

Editorial

Matthieu Komorowski et al. Br J Anaesth. 2019 Jul.

Free article

. 2019 Jul;123(1):14-16.

doi: 10.1016/j.bja.2019.03.043. Epub 2019 May 7.

¹ Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK; Intensive Care Unit, Charing Cross Hospital, London, UK. Electronic address: m.komorowski14@imperial.ac.uk.
² Intensive Care Unit, Arras Hospital, Arras, France.

No abstract available

Comment on

Heterogeneous effects of alveolar recruitment in acute respiratory distress syndrome: a machine learning reanalysis of the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial.
Zampieri FG, Costa EL, Iwashyna TJ, Carvalho CRR, Damiani LP, Taniguchi LU, Amato MBP, Cavalcanti AB; Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial Investigators. Zampieri FG, et al. Br J Anaesth. 2019 Jul;123(1):88-95. doi: 10.1016/j.bja.2019.02.026. Epub 2019 Apr 5. Br J Anaesth. 2019. PMID: 30961913