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Optimizing Adaptive Neuro Fuzzy Inference System (Anfis) With Dragonfly Algorithm For Cardiovascular Disease

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dc.contributor.authorWada Mohammed Jinjiri
dc.date.accessioned2024-05-06T01:33:16Z
dc.date.available2024-05-06T01:33:16Z
dc.date.issued2023-06
dc.description.abstractCardiovascular disease (CVD) remains a great concern in the field of healthcare. It is responsible for the highest mortality rate leading cause of death worldwide. This research utilizes an Adaptive neuro-fuzzy inference system (ANFIS) and addresses the problem of topology and parametric configurations that lead to the prediction error for CVD.
dc.identifier.urihttps://erepo.usm.my/handle/123456789/19119
dc.subjectOptimizing Adaptive Neuro Fuzzy Inference System (Anfis)
dc.subjectDragonfly Algorithm For Cardiovascular Disease
dc.titleOptimizing Adaptive Neuro Fuzzy Inference System (Anfis) With Dragonfly Algorithm For Cardiovascular Disease
dc.typeResource Types::text::thesis::master thesis
dspace.entity.typePublication
oairecerif.author.affiliationUniversiti Sains Malaysia
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