Machine Learning–Based Prediction for In‐Hospital Mortality After Acute Intracerebral Hemorrhage Using Real‐World Clinical and Image Data

Machine Learning–Based Prediction for In‐Hospital Mortality After Acute Intracerebral Hemorrhage Using Real‐World Clinical and Image Data

BACKGROUND Machine learning (ML) techniques are widely employed across various domains to achieve accurate predictions. This study assessed the effectiveness of ML in predicting early mortality risk among patients with acute intracerebral hemorrhage (ICH) in real‐world settings. METHODS AND RESULTS...

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Bibliographic Details
Main Authors: Koutarou Matsumoto, Kazuaki Ishihara, Katsuhiko Matsuda, Koki Tokunaga, Shigeo Yamashiro, Hidehisa Soejima, Naoki Nakashima, Masahiro Kamouchi
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
deep learning
intracerebral hemorrhage
machine learning
prognostic score
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.124.036447
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