Diabetes Prediction Model

Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9888

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DC Field	Value	Language
dc.contributor.author	Srivastava, Divyansh	-
dc.contributor.author	Sharma, Rajan Madhav	-
dc.contributor.author	Sehgal, Vivek Kumar [Guided by]	-
dc.date.accessioned	2023-09-08T11:00:33Z	-
dc.date.available	2023-09-08T11:00:33Z	-
dc.date.issued	2023	-
dc.identifier.uri	http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9888	-
dc.description	Enrolment No. 191309, 191444	en_US
dc.description.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.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Jaypee University of Information Technology, Solan, H.P.	en_US
dc.subject	Diabetes	en_US
dc.subject	Machine learning algorithm	en_US
dc.subject	Bloodpressure	en_US
dc.subject	Glucose	en_US
dc.title	Diabetes Prediction Model	en_US
dc.type	Project Report	en_US
Appears in Collections:	B.Tech. Project Reports

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Diabetes Prediction Model.pdf		2.91 MB	Adobe PDF	View/Open