Machine learning–based predictive model for post-stroke dementia

Machine learning–based predictive model for post-stroke dementia

Abstract Background Post-stroke dementia (PSD), a common complication, diminishes rehabilitation efficacy and affects disease prognosis in stroke patients. Many factors may be related to PSD, including demographic, comorbidities, and examination characteristics. However, most existing methods are qu...

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Bibliographic Details
Main Authors: Zemin Wei, Mengqi Li, Chenghui Zhang, Jinli Miao, Wenmin Wang, Hong Fan
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Stroke
Post-stroke dementia
Boruta algorithm
Machine learning
Prediction model
Online Access:https://doi.org/10.1186/s12911-024-02752-4

Internet

https://doi.org/10.1186/s12911-024-02752-4

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