Machine learning algorithms to predict stroke in China based on causal inference of time series analysis

Machine learning algorithms to predict stroke in China based on causal inference of time series analysis

Abstract Importance Identifying and managing high-risk populations for stroke in a targeted manner is a key area of preventive healthcare. Objective To assess machine learning (ML) models and causal inference of time series analysis for predicting stroke clinically meaningful model. Design This is a...

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Bibliographic Details
Main Authors: Qizhi Zheng, Ayang Zhao, Xinzhu Wang, Yanhong Bai, Zikun Wang, Xiuying Wang, Xianzhang Zeng, Guanghui Dong
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Neurology
Subjects:
Machine learning
Dynamic causal inference
Stroke risk prediction
Gradient boosting
Online Access:https://doi.org/10.1186/s12883-025-04261-x
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https://doi.org/10.1186/s12883-025-04261-x

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