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Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse
Autor: Fleuren, Lucas M., de Bruin, Daan P., Tonutti, Michele, Lalisang, Robbert C.A., Elbers, Paul W.G., Gommers, Diederik, Cremer, Olaf L., Bosman, Rob J., Vonk, Sebastiaan J.J., Fornasa, Mattia, Machado, Tomas, Dam, Tariq, de Keizer, Nicolet F., Raeissi, Masoume, van der Meer, Nardo J.M., Rigter, Sander, Wils, Evert Jan, Frenzel, Tim, Dongelmans, Dave A., de Jong, Remko, Peters, Marco, 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, Jannet, Dormans, Tom, Houwert, Taco, Hovenkamp, Hidde, Londono, Roberto Noorduijn, Quintarelli, Davide, Scholtemeijer, Martijn G., de Beer, Aletta A., Ercole, Ari, van der Schaar, Mihaela, Beudel, Martijn, Hoogendoorn, Mark, Girbes, Armand R.J., Herter, Willem E., Thoral, Patrick J., Roggeveen, Luca, van Diggelen, Fuda, el Hassouni, Ali, Guzman, David Romero, Bhulai, Sandjai, Ouweneel, Dagmar, Driessen, Ronald, Peppink, Jan, de Grooth, H. J., Zijlstra, G. J., van Tienhoven, A. J., van der Heiden, Evelien, Spijkstra, Jan Jaap, van der Spoel, Hans, de Man, Angelique, Klausch, Thomas, de Vries, Heder, Neree tot Babberich, Michael de, Thijssens, Olivier, Wagemakers, Lot, Berend, Julie, Silva, Virginia Ceni, Kullberg, Bob, Heunks, Leo, Juffermans, Nicole, Slooter, Arjan, Rettig, Thijs C.D., Reuland, M. C., van Manen, Laura, Montenij, Leon, van Bommel, Jasper, van den Berg, Roy, van Geest, Ellen, Hana, Anisa, Simsek, Suat, van den Bogaard, B., Pickkers, Peter, van der Heiden, Pim, van Gemeren, Claudia, Meinders, Arend Jan, de Bruin, Martha, Rademaker, Emma, van Osch, Frits, de Kruif, Martijn, Hendriks, Stefaan H.A., Schroten, Nicolas, Boelens, Age D., Arnold, Klaas Sierk, Karakus, A., Fijen, J. W., Festen-Spanjer, Barbara, Achterberg, Sefanja, Lens, Judith, van Koesveld, Jacomar, van den Tempel, Walter, Simons, Koen S., de Jager, Cornelis P.C., Oostdijk, Evelien, Labout, Joost, van der Gaauw, Bart, Reidinga, Auke C., Koetsier, Peter, Kuiper, Michael, Cornet, Alexander D., Beishuizen, Albertus, de Jong, Paul, Geutjes, Dennis, Faber, Harald J., Lutisan, Johan, Brunnekreef, Gert, Gemert, Ankie W.M.M.Koopman van, Entjes, Robert, van den Akker, Remko, Simons, Bram, Rijkeboer, A. A., Arbous, Sesmu, Aries, Marcel, van den Oever, Niels C.Gritters, van Tellingen, Martijn
Publikováno v: Intensive Care Medicine, 47(4), 478-481. Springer-Verlag
Intensive care medicine, 47(4), 478-481. Springer Verlag
Intensive Care Medicine, 47, 4, pp. 478-481
Intensive Care Medicine, 47(4), 478-481. Springer Verlag
Intensive Care Medicine
Intensive Care Medicine, 47, 478-481
Fleuren, L M, de Bruin, D P, Tonutti, M, Lalisang, R C A, Elbers, P W G, Dutch ICU Data Sharing Collaborators & Dam, TA 2021, ' Large-scale ICU data sharing for global collaboration : the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse ', Intensive Care Medicine, vol. 47, no. 4, pp. 478-481 . https://doi.org/10.1007/s00134-021-06361-x
Fleuren, L M, de Bruin, D P, Tonutti, M, Lalisang, R C A, Elbers, P W G, Gommers, D, Cremer, O L, Bosman, R J, Vonk, S J J, Fornasa, M, Machado, T, Dam, T, de Keizer, N F, Raeissi, M, van der Meer, N J M, Rigter, S, Wils, E J, Frenzel, T, Dongelmans, D A, de Jong, R, Peters, M, Kamps, M J A, Ramnarain, D, Nowitzky, R, Nooteboom, F G C A, de Ruijter, W, Urlings-Strop, L C, Smit, E G M, Mehagnoul-Schipper, J, Dormans, T, Houwert, T, Hovenkamp, H, Londono, R N, Quintarelli, D, Scholtemeijer, M G, de Beer, A A, Ercole, A, van der Schaar, M, Beudel, M, Hoogendoorn, M, Girbes, A R J, Herter, W E, Thoral, P J, Roggeveen, L, van Diggelen, F, el Hassouni, A, Guzman, D R, Bhulai, S, Ouweneel, D, Driessen, R, Peppink, J, de Grooth, H J, Zijlstra, G J, van Tienhoven, A J, van der Heiden, E, Spijkstra, J J, van der Spoel, H, de Man, A, Klausch, T, de Vries, H, Neree tot Babberich, M D, Thijssens, O, Wagemakers, L, Berend, J, Silva, V C, Kullberg, B, Heunks, L, Juffermans, N, Slooter, A, Rettig, T C D, Reuland, M C, van Manen, L, Montenij, L, van Bommel, J, van den Berg, R, van Geest, E, Hana, A, Simsek, S, van den Bogaard, B, Pickkers, P, van der Heiden, P, van Gemeren, C, Meinders, A J, de Bruin, M, Rademaker, E, van Osch, F, de Kruif, M, Hendriks, S H A, Schroten, N, Boelens, A D, Arnold, K S, Karakus, A, Fijen, J W, Festen-Spanjer, B, Achterberg, S, Lens, J, van Koesveld, J, van den Tempel, W, Simons, K S, de Jager, C P C, Oostdijk, E, Labout, J, van der Gaauw, B, Reidinga, A C, Koetsier, P, Kuiper, M, Cornet, A D, Beishuizen, A, de Jong, P, Geutjes, D, Faber, H J, Lutisan, J, Brunnekreef, G, Gemert, A W M M K V, Entjes, R, van den Akker, R, Simons, B, Rijkeboer, A A, Arbous, S, Aries, M, van den Oever, N C G & van Tellingen, M 2021, ' Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse ', Intensive Care Medicine, vol. 47, no. 4, pp. 478-481 . https://doi.org/10.1007/s00134-021-06361-x
Intensive Care Medicine, 47(4), 478-481. Springer, Cham
Contains fulltext : 238662.pdf (Publisher’s version ) (Closed access)
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aafba01478d7c4e3f50dc573db81dcd
https://www.mendeley.com/catalogue/f0ee621e-c32a-384a-bf00-f27a3d318563/
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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
Autor: Fleuren, Lucas M., Tonutti, Michele, de Bruin, Daan P., Lalisang, Robbert C.A., Dam, Tariq A., Gommers, Diederik, Cremer, Olaf L., Bosman, Rob J., Vonk, Sebastiaan J.J., Fornasa, Mattia, Machado, Tomas, van der Meer, Nardo J.M., Rigter, Sander, Wils, Evert Jan, Frenzel, Tim, Dongelmans, Dave A., de Jong, Remko, Peters, Marco, 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., Oostdijk, Evelien, Reidinga, Auke C., Festen-Spanjer, Barbara, Brunnekreef, Gert, Cornet, Alexander D., van den Tempel, Walter, Boelens, Age D., Koetsier, Peter, Lens, Judith, Achterberg, Sefanja, Faber, Harald J., Karakus, A., Beukema, Menno, Entjes, Robert, de Jong, Paul, Houwert, Taco, Hovenkamp, Hidde, Noorduijn Londono, Roberto, Quintarelli, Davide, Scholtemeijer, Martijn G., de Beer, Aletta A., Cinà, Giovanni, Beudel, Martijn, de Keizer, Nicolet F., Hoogendoorn, Mark, Girbes, Armand R.J., Herter, Willem E., Elbers, Paul W.G., Thoral, Patrick J., Rettig, Thijs C.D., Reuland, M. C., van Manen, Laura, Montenij, Leon, van Bommel, Jasper, van den Berg, Roy, van Geest, Ellen, Hana, Anisa, Boersma, W. G., van den Bogaard, B., Pickkers, Peter, van der Heiden, Pim, van Gemeren, Claudia C.W., Meinders, Arend Jan, de Bruin, Martha, Rademaker, Emma, van Osch, Frits H.M., de Kruif, Martijn, Schroten, Nicolas, Arnold, Klaas Sierk, Fijen, J. W., van Koesveld, Jacomar J.M., Simons, Koen S., Labout, Joost, van de Gaauw, Bart, Kuiper, Michael, Beishuizen, Albertus, Geutjes, Dennis, Lutisan, Johan, Grady, Bart P.X., van den Akker, Remko, Simons, Bram, Rijkeboer, A. A., Arbous, Sesmu, Aries, Marcel, van den Oever, Niels C.Gritters, van Tellingen, Martijn, Dijkstra, Annemieke, van Raalte, Rutger, Roggeveen, Luca, van Diggelen, Fuda, Hassouni, Ali el, Guzman, David Romero, Bhulai, Sandjai, Ouweneel, Dagmar, Driessen, Ronald, Peppink, Jan, de Grooth, H. J., Zijlstra, G. J., van Tienhoven, A. J., van der Heiden, Evelien, Spijkstra, Jan Jaap, van der Spoel, Hans, de Man, Angelique, Klausch, Thomas, de Vries, Heder, de Neree tot Babberich, Michael, Thijssens, Olivier, Wagemakers, Lot, van der Pol, Hilde G.A., Hendriks, Tom, Berend, Julie, Silva, Virginia Ceni, Kullberg, Bob, Heunks, Leo, Juffermans, Nicole, Slooter, Arjan
Publikováno v: Intensive Care Medicine Experimental, 9(1):32. Springer Science + Business Media
Intensive Care Medicine Experimental
Intensive Care Medicine Experimental, 9, 1
on behalf of Dutch ICU Data Sharing Against COVID-19 Collaborators 2021, ' 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 ', Intensive Care Medicine Experimental, vol. 9, 32, pp. 1-15 . https://doi.org/10.1186/s40635-021-00397-5
Intensive Care Medicine Experimental, Vol 9, Iss 1, Pp 1-15 (2021)
Intensive Care Medicine Experimental, 9:32, 1-15. Springer Science + Business Media
on behalf of Dutch ICU Data Sharing Against COVID-19 Collaborators 2021, ' 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 ', Intensive Care Medicine Experimental, vol. 9, no. 1, 32, pp. 32 . https://doi.org/10.1186/s40635-021-00397-5
Intensive Care Medicine Experimental, 9
Intensive Care Medicine Experimental, 9(1):32. Springer Open
Intensive Care Medicine Experimental, 9(1):32. SpringerOpen
Background The identification of risk factors for adverse outcomes and prolonged intensive care unit (ICU) stay in COVID-19 patients is essential for prognostication, determining treatment intensity, and resource allocation. Previous studies have det
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e970d1243bf53f19182dbe780357cc5e
https://research.vumc.nl/en/publications/acd67208-aea1-4251-a441-c6600515b1ec
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Additional file 1 of 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
Autor: Fleuren, Lucas M., Tonutti, Michele, de Bruin, Daan P., Lalisang, Robbert C. A., Dam, Tariq A., Gommers, Diederik, Cremer, Olaf L., Bosman, Rob J., Vonk, Sebastiaan J. J., Fornasa, Mattia, Machado, Tomas, van der Meer, Nardo J. M., Rigter, Sander, Wils, Evert-Jan, Frenzel, Tim, Dongelmans, Dave A., de Jong, Remko, Peters, Marco, 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., Oostdijk, Evelien, Reidinga, Auke C., Festen-Spanjer, Barbara, Brunnekreef, Gert, Cornet, Alexander D., van den Tempel, Walter, Boelens, Age D., Koetsier, Peter, Lens, Judith, Achterberg, Sefanja, Faber, Harald J., Karakus, A., Beukema, Menno, Entjes, Robert, de Jong, Paul, Houwert, Taco, Hovenkamp, Hidde, Noorduijn Londono, Roberto, Quintarelli, Davide, Scholtemeijer, Martijn G., de Beer, Aletta A., Cinà, Giovanni, Beudel, Martijn, de Keizer, Nicolet F., Hoogendoorn, Mark, Girbes, Armand R. J., Herter, Willem E., Elbers, Paul W. G., Thoral, Patrick J.
Additional file 1: Figure S1. Patient selection. Figure S2. Selection of observations throughout the course of IMV. Figure S3. Nested cross-validation. Figure S4. Importance of the top 10 predictors for the prediction of ventilator free days, as well
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59e6e59f435ab269ca7b9c5c944b0e65
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Additional file 3 of The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients
Autor: Fleuren, Lucas M., Dam, Tariq A., Tonutti, Michele, de Bruin, Daan P., Lalisang, Robbert C. A., Gommers, Diederik, Cremer, Olaf L., Bosman, Rob J., Rigter, Sander, Wils, Evert-Jan, Frenzel, Tim, Dongelmans, Dave A., de Jong, Remko, Peters, Marco, 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., Fornasa, Mattia, Machado, Tomas, Houwert, Taco, Hovenkamp, Hidde, Noorduijn-Londono, Roberto, Quintarelli, Davide, Scholtemeijer, Martijn G., de Beer, Aletta A., Cina, Giovanni, Beudel, Martijn, Herter, Willem E., Girbes, Armand R. J., Hoogendoorn, Mark, Thoral, Patrick J., Elbers, Paul W. G.
Additional file 3: Table S1. Overview of derived clinical score.
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Additional file 1 of Predictors for extubation failure in COVID-19 patients using a machine learning approach
Autor: Fleuren, Lucas M., Dam, Tariq A., Tonutti, Michele, de Bruin, Daan P., Lalisang, Robbert C. A., Gommers, Diederik, Cremer, Olaf L., Bosman, Rob J., Rigter, Sander, Wils, Evert-Jan, Frenzel, Tim, Dongelmans, Dave A., de Jong, Remko, Peters, Marco, 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., Fornasa, Mattia, Machado, Tomas, Houwert, Taco, Hovenkamp, Hidde, Noorduijn Londono, Roberto, Quintarelli, Davide, Scholtemeijer, Martijn G., de Beer, Aletta A., Cin��, Giovanni, Kantorik, Adam, de Ruijter, Tom, Herter, Willem E., Beudel, Martijn, Girbes, Armand R. J., Hoogendoorn, Mark, Thoral, Patrick J., Elbers, Paul W. G.
Additional file 1. Table S1 Overview of machine learning studies that investigate extubation readiness. Table S2 Model performance. Figure S1 PD-plot for BMI
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Additional file 2 of The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients
Autor: Fleuren, Lucas M., Dam, Tariq A., Tonutti, Michele, de Bruin, Daan P., Lalisang, Robbert C. A., Gommers, Diederik, Cremer, Olaf L., Bosman, Rob J., Rigter, Sander, Wils, Evert-Jan, Frenzel, Tim, Dongelmans, Dave A., de Jong, Remko, Peters, Marco, 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., Fornasa, Mattia, Machado, Tomas, Houwert, Taco, Hovenkamp, Hidde, Noorduijn-Londono, Roberto, Quintarelli, Davide, Scholtemeijer, Martijn G., de Beer, Aletta A., Cina, Giovanni, Beudel, Martijn, Herter, Willem E., Girbes, Armand R. J., Hoogendoorn, Mark, Thoral, Patrick J., Elbers, Paul W. G.
Additional file 2. Institutional review board documentation.
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Explainable Machine Learning on AmsterdamUMCdb for ICU Discharge Decision Support: Uniting Intensivists and Data Scientists.
Autor: Thoral PJ; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence (LCCCI), Amsterdam Medical Data Science (AMDS), Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands., Fornasa M; Pacmed BV, Amsterdam, The Netherlands., de Bruin DP; Pacmed BV, Amsterdam, The Netherlands., Tonutti M; Pacmed BV, Amsterdam, The Netherlands., Hovenkamp H; Pacmed BV, Amsterdam, The Netherlands., Driessen RH; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence (LCCCI), Amsterdam Medical Data Science (AMDS), Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands., Girbes ARJ; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence (LCCCI), Amsterdam Medical Data Science (AMDS), Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands., Hoogendoorn M; Computational Intelligence Group, Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands., Elbers PWG; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence (LCCCI), Amsterdam Medical Data Science (AMDS), Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
Publikováno v: Critical care explorations [Crit Care Explor] 2021 Sep 10; Vol. 3 (9), pp. e0529. Date of Electronic Publication: 2021 Sep 10 (Print Publication: 2021).
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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.
Autor: Fleuren LM; Department of Intensive Care Medicine, Amsterdam UMC, Amsterdam, The Netherlands. l.fleuren@amsterdamumc.nl., Tonutti M; Pacmed, Amsterdam, The Netherlands., de Bruin DP; Pacmed, Amsterdam, The Netherlands., Lalisang RCA; Pacmed, Amsterdam, The Netherlands., Dam TA; Department of Intensive Care Medicine, Amsterdam UMC, 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., Vonk SJJ; Pacmed, Amsterdam, The Netherlands., Fornasa M; Pacmed, Amsterdam, The Netherlands., Machado T; Pacmed, Amsterdam, The Netherlands., van der Meer NJM; Intensive Care, Amphia Ziekenhuis, Breda en Oosterhout, 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 M; Intensive Care, Canisius Wilhelmina Ziekenhuis, Nijmegen, The Netherlands., Kamps MJA; Intensive Care, Catharina Ziekenhuis Eindhoven, Eindhoven, The Netherlands., Ramnarain D; Intensive Care, ETZ Tilburg, Tilburg, The Netherlands., Nowitzky R; Intensive Care, Haga Ziekenhuis, Den Haag, The Netherlands., Nooteboom FGCA; Intensive Care, Laurentius Ziekenhuis, Roermond, The Netherlands., de Ruijter W; Intensive Care, Noordwest Ziekenhuisgroep, Alkmaar, 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., 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 G; 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; Anesthesiology, 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., Achterberg S; ICU, Haaglanden Medisch Centrum, Den Haag, The Netherlands., Faber HJ; ICU, WZA, Assen, The Netherlands., Karakus A; Department of Intensive Care, Diakonessenhuis Hospital, Utrecht, The Netherlands., Beukema M; Department of Intensive Care, Streekziekenhuis Koningin Beatrix, Winterswijk, The Netherlands., Entjes R; Department of Intensive Care, Admiraal De Ruyter Ziekenhuis, Goes, The Netherlands., de Jong P; Department of Anesthesia and Intensive Care, Slingeland Ziekenhuis, Doetinchem, The Netherlands., Houwert T; Pacmed, Amsterdam, The Netherlands., Hovenkamp H; Pacmed, Amsterdam, The Netherlands., Noorduijn Londono R; Pacmed, Amsterdam, The Netherlands., Quintarelli D; Pacmed, Amsterdam, The Netherlands., Scholtemeijer MG; Pacmed, Amsterdam, The Netherlands., de Beer AA; Pacmed, Amsterdam, The Netherlands., Cinà G; Pacmed, Amsterdam, The Netherlands., Beudel M; Department of Neurology, Amsterdam UMC, Universiteit Van Amsterdam, Amsterdam, The Netherlands., de Keizer NF; Department of Clinical Informatics, Amsterdam UMC, Amsterdam, The Netherlands., Hoogendoorn M; Quantitative Data Analytics Group, Department of Computer Science, Faculty of Science, VU University, Amsterdam, The Netherlands., Girbes ARJ; Department of Intensive Care Medicine, Amsterdam UMC, Amsterdam, The Netherlands., Herter WE; Pacmed, Amsterdam, The Netherlands., Elbers PWG; Department of Intensive Care Medicine, Amsterdam UMC, Amsterdam, The Netherlands., Thoral PJ; Department of Intensive Care Medicine, Amsterdam UMC, Amsterdam, The Netherlands.
Publikováno v: Intensive care medicine experimental [Intensive Care Med Exp] 2021 Jun 28; Vol. 9 (1), pp. 32. Date of Electronic Publication: 2021 Jun 28.
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