Enabling personalized perioperative risk prediction by using a machine-learning model based on preoperative data
Martin Graeßner, Bettina Jungwirth, Elke Frank, Stefan Josef Schaller, Eberhard Kochs, Kurt Ulm, Manfred Blobner, Bernhard Ulm, Armin Horst Podtschaske, Simone Maria Kagerbauer
Research output: Contribution to journal › Article › peer-review
9Scopus
citations
Fingerprint
Dive into the research topics of 'Enabling personalized perioperative risk prediction by using a machine-learning model based on preoperative data'. Together they form a unique fingerprint.