Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9888
Title: Diabetes Prediction Model
Authors: Srivastava, Divyansh
Sharma, Rajan Madhav
Sehgal, Vivek Kumar [Guided by]
Keywords: Diabetes
Machine learning algorithm
Bloodpressure
Glucose
Issue Date: 2023
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: Diabetes is considered as one of the deadliest and chronic diseases which is caused by increased levels of blood sugar. Many complications occur if diabetes remains untreated and unidentified. According to the International Diabetes Federation, 382 million people worldwide have diabetes. By 2035, this figure will have more than doubled to 592 million. A variety of traditional approaches based on physical and chemical investigations are available for diagnosing diabetes. People having diabetes have high risk of diseases like heart disease, kidney disease, stroke, eye problem, nerve damage, etc.
Description: Enrolment No. 191309, 191444
URI: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9888
Appears in Collections:B.Tech. Project Reports

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