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Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse.
Fleuren LM, Tonutti M, de Bruin DP, Lalisang RCA, Dam TA, Gommers D, Cremer OL, Bosman RJ, Vonk SJJ, Fornasa M, Machado T, van der Meer NJM, Rigter S, Wils EJ, Frenzel T, Dongelmans DA, de Jong R, Peters M, Kamps MJA, Ramnarain D, Nowitzky R, Nooteboom FGCA, de Ruijter W, Urlings-Strop LC, Smit EGM, Mehagnoul-Schipper DJ, Dormans T, de Jager CPC, Hendriks SHA, Oostdijk E, Reidinga AC, Festen-Spanjer B, Brunnekreef G, Cornet AD, van den Tempel W, Boelens AD, Koetsier P, Lens J, Achterberg S, Faber HJ, Karakus A, Beukema M, Entjes R, de Jong P, Houwert T, Hovenkamp H, Noorduijn Londono R, Quintarelli D, Scholtemeijer MG, de Beer AA, Cinà G, Beudel M, de Keizer NF, Hoogendoorn M, Girbes ARJ, Herter WE, Elbers PWG, Thoral PJ; Dutch ICU Data Sharing Against COVID-19 Collaborators. Fleuren LM, et al. Among authors: noorduijn londono r. Intensive Care Med Exp. 2021 Jun 28;9(1):32. doi: 10.1186/s40635-021-00397-5. Intensive Care Med Exp. 2021. PMID: 34180025 Free PMC article.
The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients.
Fleuren LM, Dam TA, Tonutti M, de Bruin DP, Lalisang RCA, Gommers D, Cremer OL, Bosman RJ, Rigter S, Wils EJ, Frenzel T, Dongelmans DA, de Jong R, Peters M, Kamps MJA, Ramnarain D, Nowitzky R, Nooteboom FGCA, de Ruijter W, Urlings-Strop LC, Smit EGM, Mehagnoul-Schipper DJ, Dormans T, de Jager CPC, Hendriks SHA, Achterberg S, Oostdijk E, Reidinga AC, Festen-Spanjer B, Brunnekreef GB, Cornet AD, van den Tempel W, Boelens AD, Koetsier P, Lens J, Faber HJ, Karakus A, Entjes R, de Jong P, Rettig TCD, Arbous S, Vonk SJJ, Fornasa M, Machado T, Houwert T, Hovenkamp H, Noorduijn-Londono R, Quintarelli D, Scholtemeijer MG, de Beer AA, Cina G, Beudel M, Herter WE, Girbes ARJ, Hoogendoorn M, Thoral PJ, Elbers PWG. Fleuren LM, et al. Among authors: noorduijn londono r. Crit Care. 2021 Aug 23;25(1):304. doi: 10.1186/s13054-021-03733-z. Crit Care. 2021. PMID: 34425864 Free PMC article.
Predictors for extubation failure in COVID-19 patients using a machine learning approach.
Fleuren LM, Dam TA, Tonutti M, de Bruin DP, Lalisang RCA, Gommers D, Cremer OL, Bosman RJ, Rigter S, Wils EJ, Frenzel T, Dongelmans DA, de Jong R, Peters M, Kamps MJA, Ramnarain D, Nowitzky R, Nooteboom FGCA, de Ruijter W, Urlings-Strop LC, Smit EGM, Mehagnoul-Schipper DJ, Dormans T, de Jager CPC, Hendriks SHA, Achterberg S, Oostdijk E, Reidinga AC, Festen-Spanjer B, Brunnekreef GB, Cornet AD, van den Tempel W, Boelens AD, Koetsier P, Lens J, Faber HJ, Karakus A, Entjes R, de Jong P, Rettig TCD, Arbous S, Vonk SJJ, Fornasa M, Machado T, Houwert T, Hovenkamp H, Noorduijn Londono R, Quintarelli D, Scholtemeijer MG, de Beer AA, Cinà G, Kantorik A, de Ruijter T, Herter WE, Beudel M, Girbes ARJ, Hoogendoorn M, Thoral PJ, Elbers PWG; Dutch ICU Data Sharing Against Covid-19 Collaborators. Fleuren LM, et al. Among authors: noorduijn londono r. Crit Care. 2021 Dec 27;25(1):448. doi: 10.1186/s13054-021-03864-3. Crit Care. 2021. PMID: 34961537 Free PMC article.