Machine learning based outcome prediction of microsurgically treated unruptured intracranial aneurysms

Machine learning based outcome prediction of microsurgically treated unruptured intracranial aneurysms

Abstract Machine learning (ML) has revolutionized data processing in recent years. This study presents the results of the first prediction models based on a long-term monocentric data registry of patients with microsurgically treated unruptured intracranial aneurysms (UIAs) using a temporal train-te...

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Bibliographic Details
Main Authors: Nico Stroh, Harald Stefanits, Alexander Maletzky, Sophie Kaltenleithner, Stefan Thumfart, Michael Giretzlehner, Richard Drexler, Franz L. Ricklefs, Lasse Dührsen, Stefan Aspalter, Philip Rauch, Andreas Gruber, Matthias Gmeiner
Format: Article
Language:English
Published: Nature Portfolio 2023-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-50012-8

Internet

https://doi.org/10.1038/s41598-023-50012-8

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