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Predicting hypotension in perioperative and intensive care medicine
Affiliation:1. Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany;2. Outcomes Research Consortium, Cleveland, OH, USA;3. Departments of General Anesthesiology and Outcomes Research, Anesthesiology Institute, Cleveland Clinic, 9500 Euclid Avenue – E31, Cleveland, OH, 44195, USA;4. Department of Anesthesiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 33.001, 9700 RB, Groningen, the Netherlands;1. Department of Anaesthesiology and Intensive Care Medicine, Asklepios Klinik St. Georg, Hamburg, Germany;2. Department of Anaesthesiology and Intensive Care Medicine, University Hospital Schleswig-Holstein, Campus Kiel, Germany;1. Institute of Clinical Medicine, Aarhus University, Denmark;2. Department of Anaesthesiology & Intensive Care, Aarhus University Hospital, Denmark
Abstract:
Keywords:artificial intelligence  machine learning  blood pressure  cardiovascular dynamics  hemodynamic monitoring  hypotension prediction index
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