1,584
Participants
Start Date
July 1, 2022
Primary Completion Date
June 24, 2024
Study Completion Date
June 24, 2024
Ambispective validation of machine learning-based predictive model
Retrospective and prospective validation of a machine learning model to predict major haemorrhage in trauma patients compared to clinician prediction
University Hospital of Toulouse, Polyvalent Intensive Care, Toulouse
Grenoble Alpes University Hospital, La Tronche
Lille University Hospital, Anaesthesia and Intensive Care Unit, Lille
University Hospitals Strasbourg, Anaesthesia, Intensive Care and Peri-Operative Medicine Department, Strasbourg
Pitié-Salpêtrière Hospital AP-HP, Anesthesia-Intensive Care Department, Paris
Georges-Pompidou European Hospital AP-HP, Anesthesia-Intensive Care Department, Paris
Beaujon Hospital AP-HP, Anesthesia-Intensive Care Department, Clichy
Bicêtre Hospital AP-HP, Anesthesia-Intensive Care Department, Le Kremlin-Bicêtre
Traumabase Group
UNKNOWN
Capgemini Invent
UNKNOWN
Ecole polytechnique
UNKNOWN
EHESS (Ecole des hautes études en sciences sociales)
UNKNOWN
CNRS (Centre national de la recherche scientifique)
UNKNOWN
Assistance Publique - Hôpitaux de Paris
OTHER