Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data
Titel:
Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data
Auteur:
Wagner, Martin Brandenburg, Johanna M. Bodenstedt, Sebastian Schulze, André Jenke, Alexander C. Stern, Antonia Daum, Marie T. J. Mündermann, Lars Kolbinger, Fiona R. Bhasker, Nithya Schneider, Gerd Krause-Jüttler, Grit Alwanni, Hisham Fritz-Kebede, Fleur Burgert, Oliver Wilhelm, Dirk Fallert, Johannes Nickel, Felix Maier-Hein, Lena Dugas, Martin Distler, Marius Weitz, Jürgen Müller-Stich, Beat-Peter Speidel, Stefanie
Verschenen in:
Surgical endoscopy and other interventional techniques