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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 |
Files in This Item:
File | Description | Size | Format | |
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Designing an Expert System for Diabetic Prediction using Cloud Computing.pdf | 1.69 MB | Adobe PDF | View/Open |
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