💻 computer science
MEDPOLY: A Proposed Approach for Cardiovascular Disease Prediction Using Various Ensemble Models
This paper proposes and evaluates two ensemble models for cardiovascular disease prediction, finding that a simpler combination of three classifiers (DNL) outperforms a more complex 24-classifier framework (MEDPOLY) by achieving 98% accuracy while avoiding overfitting and offering better interpretability.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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