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Benchmarking Ensemble Machine Learning Algorithms for the Early Prediction of Stroke in Imbalanced Clinical Cohorts: A Comparative Analysis and Decision Curve Assessment

2026-01-22

Abstract excerpt

<h4>Background: </h4> Stroke remains a leading cause of mortality and long-term disability globally, necessitating effective primary prevention strategies. While machine learning (ML) models offer superior predictive capabilities compared to traditional linear risk scores, their application in clinical practice is often hindered by the "class imbalance" problem, where the rarity of stroke events leads to biased, l...

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Literature Corpus work
03fc3da1-6c64-5930-bd5e-7a991f3b5db0
DOI
10.20944/preprints202601.1739.v1
Open publication

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Benchmarking Ensemble Machine Learning Algorithms for the Early Prediction of Stroke in Imbalanced Clinical Cohorts: A Comparative Analysis and Decision Curve AssessmentDOI 10.20944/preprints202601.1739.v1
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