Designing an Expert System for Diabetic Prediction using Cloud Computing

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DC Field	Value	Language
dc.contributor.author	Chugh, Aryan	-
dc.contributor.author	Mohana, Rajni [Guided by]	-
dc.date.accessioned	2023-09-07T10:41:47Z	-
dc.date.available	2023-09-07T10:41:47Z	-
dc.date.issued	2023	-
dc.identifier.uri	http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9876	-
dc.description	Enrolment No. 191409	en_US
dc.description.abstract	Diabetes has become a widespread non-communicable disease in modern times, with a prevalence rate of over 60%. The consumption of foods high in carbohydrates, fats, oils, nuts, and whole grains, coupled with factors like alcohol consumption, smoking, rising pollution levels, and high cholesterol, are some of the main reasons why the number of diabetes cases in India is on the rise. Early detection of diabetes can help prevent several severe health conditions that can significantly impact the quality of life for individuals suffering from the disease. As such, a system that can accurately diagnose whether a person has diabetes or not is necessary.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Jaypee University of Information Technology, Solan, H.P.	en_US
dc.subject	Cloud computing	en_US
dc.subject	Expert system	en_US
dc.subject	Diabeties	en_US
dc.subject	Machine learning	en_US
dc.title	Designing an Expert System for Diabetic Prediction using Cloud Computing	en_US
dc.type	Project Report	en_US
Appears in Collections:	B.Tech. Project Reports

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