Enabling personalized perioperative risk prediction by using a machine-learning model based on preoperative data

Benutzer: Gast

Titel:: Enabling personalized perioperative risk prediction by using a machine-learning model based on preoperative data
Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Graeßner, Martin ; Jungwirth, Bettina ; Frank, Elke ; Schaller, Stefan Josef ; Kochs, Eberhard ; Ulm, Kurt ; Blobner, Manfred ; Ulm, Bernhard ; Podtschaske, Armin Horst ; Kagerbauer, Simone Maria
Stichworte:: Article ; Medical research ; Outcomes research ; Risk factors
Zeitschriftentitel:: Scientific Reports
Jahr:: 2023
Band / Volume:: 13
Heft / Issue:: 1
Volltext / DOI:: doi:10.1038/s41598-023-33981-8
Verlag / Institution:: Nature Publishing Group UK
E-ISSN:: 2045-2322
Publikationsdatum:: 02.05.2023
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