Multimodal ensemble machine learning predicts neurological outcome within three hours after out of hospital cardiac arrest

Multimodal ensemble machine learning predicts neurological outcome within three hours after out of hospital cardiac arrest

Abstract This study aimed to determine if an ensemble (stacking) model that integrates three independently developed base models can reliably predict patients’ neurological outcomes following out-of-hospital cardiac arrest (OHCA) within 3 h of arrival and outperform each individual model. This retro...

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Bibliographic Details
Main Authors: Yasuyuki Kawai, Koji Yamamoto, Keisuke Tsuruta, Keita Miyazaki, Hideki Asai, Hidetada Fukushima
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Multimodal ensemble model
Early neurological prognostication
Out-of-hospital cardiac arrest
Online Access:https://doi.org/10.1038/s41598-025-15160-z
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