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A Comparative Study of Machine Learning Model for Early Detection of Heart Failure in Bangladesh: Reducing Disease Burden and Improving Healthcare Services through Data-Driven Knowledge

2025-10-22

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<title>Abstract</title> <p> <bold>Background:</bold> Heart failure (HF) is a leading cause of morbidity and mortality globally. Lower-middle-income countries like Bangladesh are facing difficult challenges in dealing with heart failure due to the unavailability of proper predictive tools, which eventually leads to delayed diagnosis and thus increases the disease burden countrywide. Traditional risk models often...

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Literature Corpus work: 5e1de503-5f79-5912-a956-c30caace0f61
DOI: 10.21203/rs.3.rs-7532602/v1

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