Your browser doesn't support javascript.
loading
Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning.
Dam, Tariq A; Roggeveen, Luca F; van Diggelen, Fuda; Fleuren, Lucas M; Jagesar, Ameet R; Otten, Martijn; de Vries, Heder J; Gommers, Diederik; Cremer, Olaf L; Bosman, Rob J; Rigter, Sander; Wils, Evert-Jan; Frenzel, Tim; Dongelmans, Dave A; de Jong, Remko; Peters, Marco A A; Kamps, Marlijn J A; Ramnarain, Dharmanand; Nowitzky, Ralph; Nooteboom, Fleur G C A; de Ruijter, Wouter; Urlings-Strop, Louise C; Smit, Ellen G M; Mehagnoul-Schipper, D Jannet; Dormans, Tom; de Jager, Cornelis P C; Hendriks, Stefaan H A; Achterberg, Sefanja; Oostdijk, Evelien; Reidinga, Auke C; Festen-Spanjer, Barbara; Brunnekreef, Gert B; Cornet, Alexander D; van den Tempel, Walter; Boelens, Age D; Koetsier, Peter; Lens, Judith; Faber, Harald J; Karakus, A; Entjes, Robert; de Jong, Paul; Rettig, Thijs C D; Arbous, Sesmu; Vonk, Sebastiaan J J; Machado, Tomas; Herter, Willem E; de Grooth, Harm-Jan; Thoral, Patrick J; Girbes, Armand R J; Hoogendoorn, Mark.
Afiliação
  • Dam TA; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands. t.dam@amsterdamumc.nl.
  • Roggeveen LF; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
  • van Diggelen F; Quantitative Data Analytics Group, Department of Computer Science, Faculty of Science, VU University, Amsterdam, The Netherlands.
  • Fleuren LM; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
  • Jagesar AR; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
  • Otten M; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
  • de Vries HJ; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
  • Gommers D; Department of Intensive Care, Erasmus Medical Center, Rotterdam, The Netherlands.
  • Cremer OL; Intensive Care, UMC Utrecht, Utrecht, The Netherlands.
  • Bosman RJ; ICU, OLVG, Amsterdam, The Netherlands.
  • Rigter S; Department of Anesthesiology and Intensive Care, St. Antonius Hospital, Nieuwegein, The Netherlands.
  • Wils EJ; Department of Intensive Care, Franciscus Gasthuis & Vlietland, Rotterdam, The Netherlands.
  • Frenzel T; Department of Intensive Care Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Dongelmans DA; Department of Intensive Care Medicine, Amsterdam UMC, Amsterdam, The Netherlands.
  • de Jong R; Intensive Care, Bovenij Ziekenhuis, Amsterdam, The Netherlands.
  • Peters MAA; Intensive Care, Canisius Wilhelmina Ziekenhuis, Nijmegen, The Netherlands.
  • Kamps MJA; Intensive Care, Catharina Ziekenhuis Eindhoven, Eindhoven, The Netherlands.
  • Ramnarain D; Department of Intensive Care, ETZ Tilburg, Tilburg, The Netherlands.
  • Nowitzky R; Intensive Care, HagaZiekenhuis, Den Haag, The Netherlands.
  • Nooteboom FGCA; Intensive Care, Laurentius Ziekenhuis, Roermond, The Netherlands.
  • de Ruijter W; Department of Intensive Care Medicine, Northwest Clinics, Alkmaar, The Netherlands.
  • Urlings-Strop LC; Intensive Care, Reinier de Graaf Gasthuis, Delft, The Netherlands.
  • Smit EGM; Intensive Care, Spaarne Gasthuis, Haarlem en Hoofddorp, The Netherlands.
  • Mehagnoul-Schipper DJ; Intensive Care, VieCuri Medisch Centrum, Venlo, The Netherlands.
  • Dormans T; Intensive Care, Zuyderland MC, Heerlen, The Netherlands.
  • de Jager CPC; Department of Intensive Care, Jeroen Bosch Ziekenhuis, Den Bosch, The Netherlands.
  • Hendriks SHA; Intensive Care, Albert Schweitzerziekenhuis, Dordrecht, The Netherlands.
  • Achterberg S; ICU, Haaglanden Medisch Centrum, Den Haag, The Netherlands.
  • Oostdijk E; ICU, Maasstad Ziekenhuis Rotterdam, Rotterdam, The Netherlands.
  • Reidinga AC; ICU, SEH, BWC, Martiniziekenhuis, Groningen, The Netherlands.
  • Festen-Spanjer B; Intensive Care, Ziekenhuis Gelderse Vallei, Ede, The Netherlands.
  • Brunnekreef GB; Department of Intensive Care, Ziekenhuisgroep Twente, Almelo, The Netherlands.
  • Cornet AD; Department of Intensive Care, Medisch Spectrum Twente, Enschede, The Netherlands.
  • van den Tempel W; Department of Intensive Care, Ikazia Ziekenhuis Rotterdam, Rotterdam, The Netherlands.
  • Boelens AD; Antonius Ziekenhuis Sneek, Sneek, The Netherlands.
  • Koetsier P; Intensive Care, Medisch Centrum Leeuwarden, Leeuwarden, The Netherlands.
  • Lens J; ICU, IJsselland Ziekenhuis, Capelle aan den IJssel, The Netherlands.
  • Faber HJ; ICU, WZA, Assen, The Netherlands.
  • Karakus A; Department of Intensive Care, Diakonessenhuis Hospital, Utrecht, The Netherlands.
  • Entjes R; Department of Intensive Care, Adrz, Goes, The Netherlands.
  • de Jong P; Department of Anesthesia and Intensive Care, Slingeland Ziekenhuis, Doetinchem, The Netherlands.
  • Rettig TCD; Department of Anesthesiology, Intensive Care and Pain Medicine, Amphia Ziekenhuis, Breda, The Netherlands.
  • Arbous S; LUMC, Leiden, The Netherlands.
  • Vonk SJJ; Pacmed, Amsterdam, The Netherlands.
  • Machado T; Pacmed, Amsterdam, The Netherlands.
  • Herter WE; Pacmed, Amsterdam, The Netherlands.
  • de Grooth HJ; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
  • Thoral PJ; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
  • Girbes ARJ; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
  • Hoogendoorn M; Quantitative Data Analytics Group, Department of Computer Science, Faculty of Science, VU University, Amsterdam, The Netherlands.
Ann Intensive Care ; 12(1): 99, 2022 Oct 20.
Article em En | MEDLINE | ID: mdl-36264358

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ann Intensive Care Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ann Intensive Care Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda