Explainable and Interpretable Model for the Early Detection of Brain Stroke Using Optimized Boosting Algorithms

Explainable and Interpretable Model for the Early Detection of Brain Stroke Using Optimized Boosting Algorithms

<b>Background/Objectives:</b> Stroke stands as a prominent global health issue, causing con-siderable mortality and debilitation. It arises when cerebral blood flow is compromised, leading to irreversible brain cell damage or death. Leveraging the power of machine learning, this paper pr...

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Bibliographic Details
Main Authors: Yogita Dubey, Yashraj Tarte, Nikhil Talatule, Khushal Damahe, Prachi Palsodkar, Punit Fulzele
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Diagnostics
Subjects:
stroke prediction
machine learning
explainable AI
LIME
SHAP
Online Access:https://www.mdpi.com/2075-4418/14/22/2514
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