Development and External Validation of a Machine Learning Model for the Early Prediction of Doses of Harmful Intracranial Pressure in Patients with Severe Traumatic Brain Injury

Author:

Carra Giorgia1,Güiza Fabian1,Piper Ian2,Citerio Giuseppe3,Maas Andrew4,Depreitere Bart5,Meyfroidt Geert1,Anke Audny,Beer Ronny,Bellander Bo-Michael,Beqiri Erta,Buki Andras,Cabeleira Manuel,Carbonara Marco,Chieregato Arturo,Bicocca Milano,Clusmann Hans,Czeiter Endre,Czosnyka Marek,Ercole Ari,Frisvold Shirin,Helbok Raimund,Jankowski Stefan,Kondziella Daniel,Koskinen Lars-Owe,Kowark Ana,Menon David K.,Moeller Kirsten,Nelson David,Piippo-Karjalainen Anna,Radoi Andreea,Ragauskas Arminas,Raj Rahul,Rhodes Jonathan,Rocka Saulius,Rossaint Rolf,Sahuquillo Juan,Sakowitz Oliver,Smielewski Peter,Stocchetti Nino,Sundström Nina,TakalaTurku Riikka,Tamosuitis Tomas,Tenovuo Olli,Unterberg Andreas,Vajkoczy Peter,Vargiolu Alessia,Vilcinis Rimantas,Wolf Stefan,Younsi Alexander,Zeiler Frederick A.,

Affiliation:

1. Clinical Division and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, and UZ Leuven and KU Leuven, Leuven, Belgium.

2. Intensive Care Monitoring Research and Paediatric Critical Care, Edinburgh Royal Hospital for Children and Young People, Edinburgh, United Kingdom.

3. University of Milan-Bicocca, School of Medicine and Surgery and Department of Emergency and Intensive Care, Monza, Italy.

4. Department of Neurosurgery, Antwerp University Hospital and University of Antwerp, Edegem, Belgium.

5. Department of Neurosurgery, UZ Leuven and KU Leuven, Leuven, Belgium.

Publisher

Mary Ann Liebert Inc

Subject

Neurology (clinical)

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