Search Results - "Lalisang, Robbert C. A"

Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse by Fleuren, Lucas M., de Bruin, Daan P., Tonutti, Michele, Lalisang, Robbert C. A., Elbers, Paul W. G.

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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 by 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.

“…Background The identification of risk factors for adverse outcomes and prolonged intensive care unit (ICU) stay in COVID-19 patients is essential for…”
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Predictors for extubation failure in COVID-19 patients using a machine learning approach by 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, Cinà, Giovanni, Kantorik, Adam, de Ruijter, Tom, Herter, Willem E, Beudel, Martijn, Girbes, Armand R J, Hoogendoorn, Mark, Thoral, Patrick J, Elbers, Paul W G

“…Determining the optimal timing for extubation can be challenging in the intensive care. In this study, we aim to identify predictors for extubation failure in…”
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The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients by 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

“…The Coronavirus disease 2019 (COVID-19) pandemic has underlined the urgent need for reliable, multicenter, and full-admission intensive care data to advance…”
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Augmented intelligence facilitates concept mapping across different electronic health records by Dam, Tariq A., Fleuren, Lucas M., Roggeveen, Luca F., Otten, Martijn, Biesheuvel, Laurens, Jagesar, Ameet R., Lalisang, Robbert C.A., Kullberg, Robert F.J., Hendriks, Tom, Girbes, Armand R.J., Hoogendoorn, Mark, Thoral, Patrick J., Elbers, Paul W.G.

“…•Augmented intelligence models can improve concept mapping.•Use of data distribution has limited impact on model performance.•Adequate mapping is feasible…”
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Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in intensive care: Development and validation of a prognostic tool for in‐hospital mortality by Plečko, Drago, Bennett, Nicolas, Mårtensson, Johan, Dam, Tariq A., Entjes, Robert, Rettig, Thijs C. D., Dongelmans, Dave A., Boelens, Age D., Rigter, Sander, Hendriks, Stefaan H. A., Jong, Remko, Kamps, Marlijn J. A., Peters, Marco, Karakus, Attila, Gommers, Diederik, Ramnarain, Dharmanand, Wils, Evert‐Jan, Achterberg, Sefanja, Nowitzky, Ralph, Tempel, Walter, Jager, Cornelis P. C., Nooteboom, Fleur G. C. A., Oostdijk, Evelien, Koetsier, Peter, Cornet, Alexander D., Reidinga, Auke C., Ruijter, Wouter, Bosman, Rob J., Frenzel, Tim, Urlings‐Strop, Louise C., Jong, Paul, Smit, Ellen G.M., Cremer, Olaf L., Mehagnoul‐Schipper, D. Jannet, Faber, Harald J., Lens, Judith, Brunnekreef, Gert B., Festen‐Spanjer, Barbara, Dormans, Tom, Bruin, Daan P., Lalisang, Robbert C. A., Vonk, Sebastiaan J. J., Haan, Martin E., Fleuren, Lucas M., Thoral, Patrick J., Elbers, Paul W. G., Bellomo, Rinaldo

“…Background The prediction of in‐hospital mortality for ICU patients with COVID‐19 is fundamental to treatment and resource allocation. The main purpose was to…”
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Some Patients Are More Equal Than Others: Variation in Ventilator Settings for Coronavirus Disease 2019 Acute Respiratory Distress Syndrome by Dam, Tariq A., de Grooth, Harm-Jan, Klausch, Thomas, Fleuren, Lucas M., de Bruin, Daan P., Entjes, Robert, Rettig, Thijs C. D., Dongelmans, Dave A., Boelens, Age D., Rigter, Sander, Hendriks, Stefaan H. A., de Jong, Remko, Kamps, Marlijn J. A, Peters, Marco, Karakus, A., Gommers, Diederik, Ramnarain, Dharmanand, Wils, Evert-Jan, Achterberg, Sefanja, Nowitzky, Ralph, van den Tempel, Walter, de Jager, Cornelis P. C., Nooteboom, Fleur G. C. A., Oostdijk, Evelien, Koetsier, Peter, Cornet, Alexander D., Reidinga, Auke C., de Ruijter, Wouter, Bosman, Rob J., Frenzel, Tim, Urlings-Strop, Louise C., de Jong, Paul, Smit, Ellen G. M., Cremer, Olaf L., Mehagnoul-Schipper, D. Jannet, Faber, Harald J., Lens, Judith, Brunnekreef, Gert B., Festen-Spanjer, Barbara, Dormans, Tom, Dijkstra, Annemieke, Simons, Bram, Rijkeboer, A. A., Arbous, Sesmu, Aries, Marcel, Beukema, Menno, Pretorius, Daniël, van Raalte, Rutger, van Tellingen, Martijn, Gritters van den Oever, Niels C., Lalisang, Robbert C. A., Tonutti, Michele, Girbes, Armand R. J., Hoogendoorn, Mark, Thoral, Patrick J., Elbers, Paul W. G.

“…OBJECTIVES: As coronavirus disease 2019 is a novel disease, treatment strategies continue to be debated. This provides the intensive care community with a…”
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Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records by Vagliano, Iacopo, Schut, Martijn C, Abu-Hanna, Ameen, Dongelmans, Dave A, de Lange, Dylan W, Gommers, Diederik, Cremer, Olaf L, Bosman, Rob J, Rigter, Sander, Wils, Evert-Jan, Frenzel, Tim, 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, Reuland, M C, Arbous, Sesmu, Fleuren, Lucas M, Dam, Tariq A, Thoral, Patrick J, Lalisang, Robbert C A, Tonutti, Michele, de Bruin, Daan P, Elbers, Paul W G, de Keizer, Nicolette F

“…To assess, validate and compare the predictive performance of models for in-hospital mortality of COVID-19 patients admitted to the intensive care unit (ICU)…”
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A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients by Izdebski, Adam, Thoral, Patrick J, Lalisang, Robbert C. A, McHugh, Dean M, 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, Tempel, Walter van den, Boelens, Age D, Koetsier, Peter, Lens, Judith, Faber, Harald J, Karakus, A, Entjes, Robert, de Jong, Paul, Rettig, Thijs C. D, Arbous, Sesmu, Fleuren, Lucas M, Dam, Tariq A, Tonutti, Michele, de Bruin, Daan P, Elbers, Paul W. G, Cinà, Giovanni

“…Despite the recent progress in the field of causal inference, to date there is no agreed upon methodology to glean treatment effect estimation from…”
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