Machine learning-based prediction model for post-stroke cerebral-cardiac syndrome: a risk stratification study

Machine learning-based prediction model for post-stroke cerebral-cardiac syndrome: a risk stratification study

Abstract Background Cerebral-cardiac syndrome (CCS) is a severe cardiac complication following acute ischemic stroke, often associated with adverse outcomes. This study developed and validated a machine learning (ML) model to predict CCS using clinical, laboratory, and pre-extracted imaging features...

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Bibliographic Details
Main Authors: Tingyu Zhang, Zelin Hao, Qunlian Jiang, Linhui Zhu, Lifang Ye
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Cerebral-cardiac syndrome
Machine learning
Stroke
SHAP analysis
Risk prediction
Online Access:https://doi.org/10.1038/s41598-025-10104-z
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