Machine learning prediction of hematoma expansion in acute intracerebral hemorrhage

Machine learning prediction of hematoma expansion in acute intracerebral hemorrhage

Abstract To examine whether machine learning (ML) approach can be used to predict hematoma expansion in acute intracerebral hemorrhage (ICH) with accuracy and widespread applicability, we applied ML algorithms to multicenter clinical data and CT findings on admission. Patients with acute ICH from th...

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Bibliographic Details
Main Authors: Satoru Tanioka, Tetsushi Yago, Katsuhiro Tanaka, Fujimaro Ishida, Tomoyuki Kishimoto, Kazuhiko Tsuda, Munenari Ikezawa, Tomohiro Araki, Yoichi Miura, Hidenori Suzuki
Format: Article
Language:English
Published: Nature Portfolio 2022-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-15400-6

Internet

https://doi.org/10.1038/s41598-022-15400-6

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