Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation
Behrooz Mamandipoor(Fondazione Bruno Kessler), Venet Osmani(Fondazione Bruno Kessler), Malte Kelm(Düsseldorf University Hospital), Óscar Peñuelas(Instituto de Salud Carlos III), Bin Du(Chinese Academy of Medical Sciences & Peking Union Medical College), Salvatore Maurizio Maggiore(Università Cattolica del Sacro Cuore), Christian Jung(Heinrich Heine University Düsseldorf), Bruno Valle Pinheiro, Fernando Frutos–Vivar(Hospital Universitario de Getafe), Alfonso Muriel(Instituto Cajal), Nahit Çakar(Istanbul University), Bernhard Wernly(Paracelsus Medical University), Dimitros Matamis(Papageorgiou General Hospital), Raphael Romano Bruno(Heinrich Heine University Düsseldorf), Pravin Amin(Bombay Hospital), Richard Rezar(University of Salzburg), Lorenzo del-Sorbo, Yuda Sutherasan(Mahidol University), Marco Antonio Soares(Centro Universitário de Belo Horizonte), Andrew D. Bersten(Flinders University), Antonio Anzueto(The University of Texas at San Antonio Health Science Center), Fekri Abroug(Hospital Fatuma Bourguiba Monastir), Fernando Ríos(Hospital Posadas), Gee Young Suh(University of Pittsburgh), Nicolás Nín(Centro de Investigación Biomédica en Red de Enfermedades Respiratorias), Arnaud W. Thille(Inserm), Konstantinos Raymondos(Medizinische Hochschule Hannover), Maria del Carmen Marín(Institute for Social Security and Services for State Workers), Manuel Jibaja, Marco González(Universidad Pontificia Bolivariana), Amine Ali Zeggwagh(Centre Hospitalier Ibn Sina)
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