WT-CNN: A Hybrid Machine Learning Model for Heart Disease Prediction
WT-CNN: A Hybrid Machine Learning Model for Heart Disease Prediction
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Basel: MDPI AG
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English
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Basel: MDPI AG
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Contents
Heart disease remains a predominant health challenge, being the leading cause of death worldwide. According to the World Health Organization (WHO), cardiovascular diseases (CVDs) take an estimated 17.9 million lives each year, accounting for 32% of all global deaths. Thus, there is a global health concern necessitating accurate prediction models fo...
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WT-CNN: A Hybrid Machine Learning Model for Heart Disease Prediction
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TN_cdi_doaj_primary_oai_doaj_org_article_9f46053eda0d4d58a3acd5574c548827
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9f46053eda0d4d58a3acd5574c548827
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ISSN
2227-7390
E-ISSN
2227-7390
DOI
10.3390/math11224681
