Predicting stroke severity of patients using interpretable machine learning algorithms

Predicting stroke severity of patients using interpretable machine learning algorithms

Abstract Background Stroke is a significant global health concern, ranking as the second leading cause of death and placing a substantial financial burden on healthcare systems, particularly in low- and middle-income countries. Timely evaluation of stroke severity is crucial for predicting clinical...

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Bibliographic Details
Main Authors: Amir Sorayaie Azar, Tahereh Samimi, Ghanbar Tavassoli, Amin Naemi, Bahlol Rahimi, Zahra Hadianfard, Uffe Kock Wiil, Surena Nazarbaghi, Jamshid Bagherzadeh Mohasefi, Hadi Lotfnezhad Afshar
Format: Article
Language:English
Published: BMC 2024-11-01
Series:European Journal of Medical Research
Subjects:
Stroke severity
Prediction
Machine learning
Interpretable machine learning
Online Access:https://doi.org/10.1186/s40001-024-02147-1

Internet

https://doi.org/10.1186/s40001-024-02147-1

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