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Abdisa Kediro Dedefo on Muck Rack

Abdisa Kediro Dedefo

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Meta-cluster driven ensemble learning with cluster-augmented features for explainable heart disease prediction

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By Surajit Das, Biswajit Sahoo, Biswaranjan Acharya, Satyananda Champati Rai, Samaleswari Prasad Nayak, Abdisa Kediro Dedefo
| Nature Verified
Abstract Heart disease remains a major global cause of death, necessitating accurate and interpretable predictive models. In this study the work proposes a Meta Cluster-Driven Ensemble Learning Engine (MCDELE) to improve predictive accuracy. Our proposed model uses a two-tier stacking architecture. The first layer consists of a range of base learners trained on a combined heart disease dataset collected from Kaggle, which is derived from multiple UCI Heart Disease cohorts.
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