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Machine Learning-Based Heart Disease Prediction Using Clinical and Diagnostic Features

This study employs statistical analysis and machine learning techniques on the UCI Heart Disease dataset to develop and evaluate a predictive model for early heart disease risk assessment, emphasizing comprehensive performance metrics and responsible, interpretable clinical application.

Original authors: JAGDISH MALKAR

Published 2026-10-14
📖 1 min read☕ Coffee break read

Original authors: JAGDISH MALKAR

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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