Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9876
Title: Designing an Expert System for Diabetic Prediction using Cloud Computing
Authors: Chugh, Aryan
Mohana, Rajni [Guided by]
Keywords: Cloud computing
Expert system
Diabeties
Machine learning
Issue Date: 2023
Publisher: Jaypee University of Information Technology, Solan, H.P.
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.
Description: Enrolment No. 191409
URI: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9876
Appears in Collections:B.Tech. Project Reports

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