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DIABETES AND HEART DISEASE PREDICTION
ISSN: 2582 - 9130
Publisher: author
DIABETES AND HEART DISEASE PREDICTION
Indexed in
Technology and Engineering
ARTICLE-FACTOR
1.3
Article Basics Score: 3
Article Transparency Score: 3
Article Operation Score: 3
Article Articles Score: 3
Article Accessibility Score: 2
SUBMIT PAPER ASK QUESTION
International Category Code (ICC):
ICC-1802
Publisher: Krishma Publication
International Journal Address (IAA):
IAA.ZONE/2582384069130
eISSN
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2582 - 9130
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Abstract
Machine Learning (ML), one of the most well-known applications of Artificial Intelligence, is revolutionising the field of research. In this work, machine learning is utilised to determine whether or not a person has cardiac disease. Many people suffer from cardiovascular diseases (CVDs), which claim the lives of people all over the world. On a monthly basis, a large amount of patient-related data is maintained. The information gathered can be used to predict the occurrence of future diseases. Machine learning may be used to determine whether a person has a cardiovascular illness based on particular characteristics such as chest discomfort, cholesterol levels, gender, and other factors. Logistic Regression (86.3% accuracy), Na
