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21 results for Thoral,+Patrick

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ArticlesPeer ReviewedFull Text
Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy
Author / Creator:Fleuren, Lucas M. ; Klausch, Thomas L. T. ; Zwager, Charlotte L. ; Schoonmade, Linda J. ; Guo, Tingjie ; Roggeveen, Luca F. ; Swart, Eleonora L. ; Girbes, Armand R. J. ; Thoral, Patrick ; Ercole, Ari ; Hoogendoorn, Mark ; Elbers, Paul W. G.
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:Intensive care medicine, 2020-03, Vol.46 (3), p.383-400
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Application of the Sepsis-3 criteria to describe sepsis epidemiology in the Amsterdam UMCdb intensive care dataset
Author / Creator:Williams, Christopher Y. K. ; Edinburgh, Tom ; Elbers, Paul W. G. ; Thoral, Patrick J. ; Ercole, Ari
Publisher:United States: Public Library of Science
Journal title:PloS one, 2024-06, Vol.19 (6), p.e0304133
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Machine learning in intensive care medicine: ready for take-off?
Author / Creator:Fleuren, Lucas M. ; Thoral, Patrick ; Shillan, Duncan ; Ercole, Ari ; Elbers, Paul W. G.
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:Intensive care medicine, 2020-07, Vol.46 (7), p.1486-1488
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Right dose, right now: bedside, real-time, data-driven, and personalised antibiotic dosing in critically ill patients with sepsis or septic shock—a two-centre randomised clinical trial
Author / Creator:Roggeveen, Luca F. ; Guo, Tingjie ; Fleuren, Lucas M. ; Driessen, Ronald ; Thoral, Patrick ; van Hest, Reinier M. ; Mathot, Ron A. A. ; Swart, Eleonora L. ; de Grooth, Harm-Jan ; van den Bogaard, Bas ; Girbes, Armand R. J. ; Bosman, Rob J. ; Elbers, Paul W. G.
Publisher:London: BioMed Central Ltd
Journal title:Critical care (London, England), 2022-09, Vol.26 (1), p.1-265, Article 265
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A novel Vascular Leak Index identifies sepsis patients with a higher risk for in-hospital death and fluid accumulation
Author / Creator:Chandra, Jay ; Armengol de la Hoz, Miguel A. ; Lee, Gwendolyn ; Lee, Alexandria ; Thoral, Patrick ; Elbers, Paul ; Lee, Hyung-Chul ; Munger, John S. ; Celi, Leo Anthony ; Kaufman, David A.
Publisher:England: BioMed Central Ltd
Journal title:Critical care (London, England), 2022-04, Vol.26 (1), p.103-10, Article 103
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Oxygenation thresholds for invasive ventilation in hypoxemic respiratory failure: a target trial emulation in two cohorts
Author / Creator:Yarnell, Christopher J. ; Angriman, Federico ; Ferreyro, Bruno L. ; Liu, Kuan ; De Grooth, Harm Jan ; Burry, Lisa ; Munshi, Laveena ; Mehta, Sangeeta ; Celi, Leo ; Elbers, Paul ; Thoral, Patrick ; Brochard, Laurent ; Wunsch, Hannah ; Fowler, Robert A. ; Sung, Lillian ; Tomlinson, George
Publisher:England: BioMed Central Ltd
Journal title:Critical care (London, England), 2023-02, Vol.27 (1), p.67-67, Article 67
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Behavioural artificial intelligence technology for COVID-19 intensivist triage decisions: making the implicit explicit
Author / Creator:de Metz, Jesse ; Thoral, Patrick J. ; Chorus, Caspar G. ; Elbers, Paul W. G. ; van den Bogaard, Bas
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:Intensive care medicine, 2021-11, Vol.47 (11), p.1327-1328
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Intensive Care Unit Physicians’ Perspectives on Artificial Intelligence–Based Clinical Decision Support Tools: Preimplementation Survey Study
Author / Creator:van der Meijden, Siri L ; de Hond, Anne A H ; Thoral, Patrick J ; Steyerberg, Ewout W ; Kant, Ilse M J ; Cinà, Giovanni ; Arbous, M Sesmu
Publisher:Canada: JMIR Publications
Journal title:JMIR human factors, 2023-01, Vol.10, p.e39114-e39114
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Right Dose Right Now: bedside data-driven personalized antibiotic dosing in severe sepsis and septic shock — rationale and design of a multicenter randomized controlled superiority trial
Author / Creator:Roggeveen, Luca F. ; Fleuren, Lucas M. ; Guo, Tingjie ; Thoral, Patrick ; de Grooth, Harm Jan ; Swart, Eleonora L. ; Klausch, Thomas L. T. ; van der Voort, Peter H. J. ; Girbes, Armand R. J. ; Bosman, Rob J. ; Elbers, Paul W. G.
Publisher:England: BioMed Central Ltd
Journal title:Current controlled trials in cardiovascular medicine, 2019-12, Vol.20 (1), p.745-13, Article 745
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The ESICM datathon and the ESICM and ICMx data science strategy
Author / Creator:Elbers, Paul ; Thoral, Patrick ; Bos, Lieuwe D. J. ; Greco, Massimiliano ; Wendel-Garcia, Pedro D. ; Ercole, Ari
Publisher:Cham: Springer International Publishing
Journal title:Intensive care medicine experimental, 2024-03, Vol.12 (1), p.29-29, Article 29
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Assessing SOFA score trajectories in sepsis using machine learning: A pragmatic approach to improve the accuracy of mortality prediction
Author / Creator:Palmowski, Lars ; Nowak, Hartmuth ; Witowski, Andrea ; Koos, Björn ; Wolf, Alexander ; Weber, Maike ; Kleefisch, Daniel ; Unterberg, Matthias ; Haberl, Helge ; von Busch, Alexander ; Ertmer, Christian ; Zarbock, Alexander ; Bode, Christian ; Putensen, Christian ; Limper, Ulrich ; Wappler, Frank ; Köhler, Thomas ; Henzler, Dietrich ; Oswald, Daniel ; Ellger, Björn ; Ehrentraut, Stefan F. ; Bergmann, Lars ; Rump, Katharina ; Ziehe, Dominik ; Babel, Nina ; Sitek, Barbara ; Marcus, Katrin ; Frey, Ulrich H. ; Thoral, Patrick J. ; Adamzik, Michael ; Eisenacher, Martin ; Rahmel, Tim
Publisher:United States: Public Library of Science
Journal title:PloS one, 2024-03, Vol.19 (3), p.e0300739-e0300739
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Varying association of laboratory values with reference ranges and outcomes in critically ill patients: an analysis of data from five databases in four countries across Asia, Europe and North America
Author / Creator:Xu, Haoran ; Agha-Mir-Salim, Louis ; O’Brien, Zachary ; Huang, Dora C ; Li, Peiyao ; Gómez, Josep ; Liu, Xiaoli ; Liu, Tongbo ; Yeung, Wesley ; Thoral, Patrick ; Elbers, Paul ; Zhang, Zhengbo ; Saera, María Bodí ; Celi, Leo Anthony
Publisher:London: BMJ Publishing Group Ltd
Journal title:BMJ health & care informatics, 2021-10, Vol.28 (1), p.e100419
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Encouraging responsible intensive care data sharing
Author / Creator:Thoral, Patrick ; Elbers, Paul
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:Intensive care medicine, 2023-08, Vol.49 (8), p.1027-1028
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Diagnosing acute kidney injury ahead of time in critically ill septic patients using kinetic estimated glomerular filtration rate
Author / Creator:Lijović, Lada ; Pelajić, Stipe ; Hawchar, Fatime ; Minev, Ivaylo ; da Silva, Beatriz Helena Cermaria Soares ; Angelucci, Alessandra ; Ercole, Ari ; de Grooth, Harm-Jan ; Thoral, Patrick ; Radočaj, Tomislav ; Elbers, Paul
Publisher:United States: Elsevier Inc
Journal title:Journal of critical care, 2023-06, Vol.75, p.154276-154276, Article 154276
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ArticlesPeer ReviewedFull Text
Development of a Reinforcement Learning Algorithm to Optimize Corticosteroid Therapy in Critically Ill Patients with Sepsis
Author / Creator:Bologheanu, Razvan ; Kapral, Lorenz ; Laxar, Daniel ; Maleczek, Mathias ; Dibiasi, Christoph ; Zeiner, Sebastian ; Agibetov, Asan ; Ercole, Ari ; Thoral, Patrick ; Elbers, Paul ; Heitzinger, Clemens ; Kimberger, Oliver
Publisher:Switzerland: MDPI AG
Journal title:Journal of clinical medicine, 2023-02, Vol.12 (4), p.1513
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Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML
Author / Creator:van de Water, Robin ; Schmidt, Hendrik ; Elbers, Paul ; Thoral, Patrick ; Arnrich, Bert ; Rockenschaub, Patrick
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2024-03
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Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation
Author / Creator:Zadorozhny, Karina ; Thoral, Patrick ; Elbers, Paul ; Cinà, Giovanni
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2022-05
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ArticlesFull Text
Hide-and-Seek Privacy Challenge
Author / Creator:Jordon, James ; Jarrett, Daniel ; Yoon, Jinsung ; Barnes, Tavian ; Elbers, Paul ; Thoral, Patrick ; Ercole, Ari ; Zhang, Cheng ; Belgrave, Danielle ; van der Schaar, Mihaela
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2020-07
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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
Author / Creator:Izdebski, Adam ; Thoral, Patrick J ; Lalisang, Robbert C A ; McHugh, Dean M ; Gommers, Diederik ; Cremer, Olaf L ; Bosman, Rob J ; Rigter, Sander ; Evert-Jan Wils ; Frenzel, Tim ; Dongelmans, Dave A ; Remko de Jong ; Peters, Marco A A ; Kamps, Marlijn J A ; Ramnarain, Dharmanand ; Nowitzky, Ralph ; Fleur G C A Nooteboom ; de Ruijter, Wouter ; Urlings-Strop, Louise C ; Smit, Ellen G M ; Mehagnoul-Schipper, D Jannet ; Dormans, Tom ; Cornelis P C de Jager ; 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 ; Fleuren, Lucas M ; Dam, Tariq A ; Tonutti, Michele ; de Bruin, Daan P ; Elbers, Paul W G ; Cinà, Giovanni
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2021-12
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Autoantibodies against type I interferons are associated with multi-organ failure in COVID-19 patients
Author / Creator:Koning, Rutger ; Bastard, Paul ; Casanova, Jean-Laurent ; Brouwer, Matthijs C. ; van de Beek, Diederik
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:Intensive care medicine, 2021-06, Vol.47 (6), p.704-706
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Showing 1 to 20 of 21 results

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Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy

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Application of the Sepsis-3 criteria to describe sepsis epidemiology in the Amsterdam UMCdb intensive care dataset

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Machine learning in intensive care medicine: ready for take-off?

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Right dose, right now: bedside, real-time, data-driven, and personalised antibiotic dosing in critically ill patients with sepsis or septic shock—a two-centre randomised clinical trial

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A novel Vascular Leak Index identifies sepsis patients with a higher risk for in-hospital death and fluid accumulation

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Oxygenation thresholds for invasive ventilation in hypoxemic respiratory failure: a target trial emulation in two cohorts

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Behavioural artificial intelligence technology for COVID-19 intensivist triage decisions: making the implicit explicit

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Intensive Care Unit Physicians’ Perspectives on Artificial Intelligence–Based Clinical Decision Support Tools: Preimplementation Survey Study

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Right Dose Right Now: bedside data-driven personalized antibiotic dosing in severe sepsis and septic shock — rationale and design of a multicenter randomized controlled superiority trial

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The ESICM datathon and the ESICM and ICMx data science strategy

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Assessing SOFA score trajectories in sepsis using machine learning: A pragmatic approach to improve the accuracy of mortality prediction

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Varying association of laboratory values with reference ranges and outcomes in critically ill patients: an analysis of data from five databases in four countries across Asia, Europe and North America

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Encouraging responsible intensive care data sharing

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Diagnosing acute kidney injury ahead of time in critically ill septic patients using kinetic estimated glomerular filtration rate

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Development of a Reinforcement Learning Algorithm to Optimize Corticosteroid Therapy in Critically Ill Patients with Sepsis

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Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML

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Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation

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Hide-and-Seek Privacy Challenge

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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

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Autoantibodies against type I interferons are associated with multi-organ failure in COVID-19 patients

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