Discovering Patterns of Cardiovascular Disease and Diabetes in Myocardial Infarction Patients Using Association Rule Mining

Discovering Patterns of Cardiovascular Disease and Diabetes in Myocardial Infarction Patients Using Association Rule Mining

Highlights: • Association Rule Mining tools predict the association of early-onset Myocardial Infarction with Hypertension and Diabetes Mellitus. • Association Rule Mining tools using clinical and biochemical attributes can predict the development of Hypertension and Diabetes Mellitus in Myocardi...

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Bibliographic Details
Main Authors: Anju Singh, Divakar Singh, Shikha Sharma, Kamal Upreti, Manish Maheshwari, Vimal Mehta, Jitender Sharma, Pratishtha Mehra, Pradeep Kumar Dabla
Format: Article
Language:English
Published: Universitas Airlangga 2022-09-01
Series:Folia Medica Indonesiana
Subjects:
cardiovascular diseases
diabetes
hypertension
association rule mining
hotspot
myocardial infarction
Online Access:https://e-journal.unair.ac.id/FMI/article/view/34975

Internet

https://e-journal.unair.ac.id/FMI/article/view/34975

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