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Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort.
Magunia, Harry; Lederer, Simone; Verbuecheln, Raphael; Gilot, Bryant Joseph; Koeppen, Michael; Haeberle, Helene A; Mirakaj, Valbona; Hofmann, Pascal; Marx, Gernot; Bickenbach, Johannes; Nohe, Boris; Lay, Michael; Spies, Claudia; Edel, Andreas; Schiefenhövel, Fridtjof; Rahmel, Tim; Putensen, Christian; Sellmann, Timur; Koch, Thea; Brandenburger, Timo; Kindgen-Milles, Detlef; Brenner, Thorsten; Berger, Marc; Zacharowski, Kai; Adam, Elisabeth; Posch, Matthias; Moerer, Onnen; Scheer, Christian S; Sedding, Daniel; Weigand, Markus A; Fichtner, Falk; Nau, Carla; Prätsch, Florian; Wiesmann, Thomas; Koch, Christian; Schneider, Gerhard; Lahmer, Tobias; Straub, Andreas; Meiser, Andreas; Weiss, Manfred; Jungwirth, Bettina; Wappler, Frank; Meybohm, Patrick; Herrmann, Johannes; Malek, Nisar; Kohlbacher, Oliver; Biergans, Stephanie; Rosenberger, Peter.
Afiliação
  • Magunia H; Department of Anesthesiology and Intensive Care Medicine, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Hoppe Seyler Str. 3, 72076, Tübingen, Germany. harry.magunia@med.uni-tuebingen.de.
  • Lederer S; Institute for Translational Bioinformatics and Medical Data Integration Center, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Tübingen, Germany.
  • Verbuecheln R; Institute for Translational Bioinformatics and Medical Data Integration Center, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Tübingen, Germany.
  • Gilot BJ; Institute for Translational Bioinformatics and Medical Data Integration Center, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Tübingen, Germany.
  • Koeppen M; Department of Anesthesiology and Intensive Care Medicine, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Hoppe Seyler Str. 3, 72076, Tübingen, Germany.
  • Haeberle HA; Department of Anesthesiology and Intensive Care Medicine, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Hoppe Seyler Str. 3, 72076, Tübingen, Germany.
  • Mirakaj V; Department of Anesthesiology and Intensive Care Medicine, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Hoppe Seyler Str. 3, 72076, Tübingen, Germany.
  • Hofmann P; Department of Anesthesiology and Intensive Care Medicine, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Hoppe Seyler Str. 3, 72076, Tübingen, Germany.
  • Marx G; Department of Intensive Care Medicine, University Hospital RWTH Aachen, Aachen, Germany.
  • Bickenbach J; Department of Intensive Care Medicine, University Hospital RWTH Aachen, Aachen, Germany.
  • Nohe B; Center for Anaesthesia, Intensive Care and Emergency Medicine, Zollernalb Klinikum, Balingen, Germany.
  • Lay M; Center for Anaesthesia, Intensive Care and Emergency Medicine, Zollernalb Klinikum, Balingen, Germany.
  • Spies C; Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Humboldt-Universität zu Berlin, Berlin , Germany.
  • Edel A; Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Humboldt-Universität zu Berlin, Berlin , Germany.
  • Schiefenhövel F; Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Humboldt-Universität zu Berlin, Berlin , Germany.
  • Rahmel T; Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Humboldt-Universität Zu Berlin, Berlin, Germany.
  • Putensen C; Department of Anesthesiology, Intensive Care Medicine/Pain Therapy, Knappschaftskrankenhaus Bochum, Bochum, Germany.
  • Sellmann T; Department of Anaesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany.
  • Koch T; Department of Anesthesiology and Intensive Care Medicine, Evangelisches Krankenhaus Bethesda, Duisburg, Germany.
  • Brandenburger T; Chair of Anesthesiology 1, Witten/Herdecke University, Wuppertal, Germany.
  • Kindgen-Milles D; Department of Anesthesiology and Intensive Care Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
  • Brenner T; Department of Anaesthesiology, University Hospital Düsseldorf, Düsseldorf, Germany.
  • Berger M; Department of Anaesthesiology, University Hospital Düsseldorf, Düsseldorf, Germany.
  • Zacharowski K; Department of Anesthesiology and Intensive Care Medicine, University Hospital Essen, University Duisburg-Essen, Essen, Germany.
  • Adam E; Department of Anesthesiology and Intensive Care Medicine, University Hospital Essen, University Duisburg-Essen, Essen, Germany.
  • Posch M; Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany.
  • Moerer O; Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany.
  • Scheer CS; Department of Anesthesiology and Critical Care, Medical Center - University of Freiburg, Freiburg, Germany.
  • Sedding D; Center for Anesthesiology, Emergency and Intensive Care Medicine, University of Göttingen, Göttingen, Germany.
  • Weigand MA; Department of Anesthesiology, University Medicine Greifswald, Greifswald, Germany.
  • Fichtner F; Department Cardiology, Angiology and Intensive Care Medicine, University Hospital Halle (Saale), Halle (Saale), Germany.
  • Nau C; Department of Anesthesiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Prätsch F; Department of Anesthesiology and Intensive Care, Leipzig University Hospital, Leipzig, Germany.
  • Wiesmann T; Department of Anesthesiology and Intensive Care, University Medical Center Schleswig-Holstein, Campus Lübeck, University of Lübeck, Lübeck, Germany.
  • Koch C; Department of Anaesthesiology and Intensive Care Therapy, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany.
  • Schneider G; University Hospital Marburg, UKGM, Philipps University Marburg, Marburg, Germany.
  • Lahmer T; Department of Anesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Giessen and Marburg, Justus-Liebig University Giessen, Giessen, Germany.
  • Straub A; Department of Anesthesiology and Intensive Care, School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany.
  • Meiser A; Klinik Und Poliklinik Für Innere Medizin II, Klinikum Rechts Der Isar der, Technischen Universität München, Munich, Germany.
  • Weiss M; Department for Anesthesiology, Intensive Care Medicine, Emergency Medicine and Pain Medicine, St. Elisabethen Klinikum, Ravensburg, Germany.
  • Jungwirth B; Department of Anesthesiology, Intensive Care Medicine and Pain Medicine, Saarland University Hospital Medical Center, Homburg/Saar, Germany.
  • Wappler F; Department of Anesthesiology and Intensive Care Medicine, Ulm University, Ulm, Germany.
  • Meybohm P; Department of Anesthesiology and Intensive Care Medicine, Ulm University, Ulm, Germany.
  • Herrmann J; Department of Anaesthesiology and Intensive Care Medicine, Cologne-Merheim Medical Centre, Witten/Herdecke University, Cologne-Merheim, Germany.
  • Malek N; Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Wuerzburg, University Wuerzburg, Wuerzburg, Germany.
  • Kohlbacher O; Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Wuerzburg, University Wuerzburg, Wuerzburg, Germany.
  • Biergans S; Department of Internal Medicine 1, University Hospital Tübingen, Tübingen, Germany.
  • Rosenberger P; Institute for Translational Bioinformatics and Medical Data Integration Center, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Tübingen, Germany.
Crit Care ; 25(1): 295, 2021 Aug 17.
Article em En | MEDLINE | ID: mdl-34404458
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estado Terminal / Registros Eletrônicos de Saúde / Aprendizado de Máquina / COVID-19 / Unidades de Terapia Intensiva Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Revista: Crit Care Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Alemanha País de publicação: Reino Unido
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estado Terminal / Registros Eletrônicos de Saúde / Aprendizado de Máquina / COVID-19 / Unidades de Terapia Intensiva Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Revista: Crit Care Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Alemanha País de publicação: Reino Unido