Stroke Dataset Modeling: Comparative Study of Machine Learning Classification Methods
Stroke Dataset Modeling: Comparative Study of Machine Learning Classification Methods
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Stroke prediction is a vital research area due to its significant implications for public health. This comparative study offers a detailed evaluation of algorithmic methodologies and outcomes from three recent prominent studies on stroke prediction. Ivanov et al. tackled issues of imbalanced datasets and algorithmic bias using deep learning techniq...
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Full title
Stroke Dataset Modeling: Comparative Study of Machine Learning Classification Methods
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TN_cdi_doaj_primary_oai_doaj_org_article_bfe4cd4ca9064c22960d1ef842976336
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bfe4cd4ca9064c22960d1ef842976336
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ISSN
1999-4893
E-ISSN
1999-4893
DOI
10.3390/a17120571
