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Retrieved on: 2025-01-24 16:56:21
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Summary
The article discusses using the AdaBoost classifier for predicting COVID-19 hospitalization in children, relating to machine learning, its effectiveness compared to other models, and ensuring fairness while avoiding data leakage. It emphasizes predictive model evaluation, generalizability, and explainability.
Article found on: www.nature.com
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