Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9883
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dc.contributor.authorSingh, Nandini-
dc.contributor.authorGupta, Pradeep Kumar [Guided by]-
dc.date.accessioned2023-09-08T10:42:49Z-
dc.date.available2023-09-08T10:42:49Z-
dc.date.issued2023-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9883-
dc.descriptionEnrolment No. 191413en_US
dc.description.abstractThe field of deep learning has gained momentum in recent years and is being used in many areas for building up a predictive model. Machine learning and deep learning have contributed a lot in the society for building high accuracy models and better predictive models. Obesity is becoming a major problem in today's scenario taking into account the lifestyle the people have these days and their eating habits. Predicting obesity at an early age prevents children from becoming unhealthy adults with problems like High blood pressure (hypertension). High LDL cholesterol, low HDL cholesterol, or high levels of triglycerides (dyslipidemia), Type 2 diabetes and Coronary heart disease.en_US
dc.language.isoen_USen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectDeep learningen_US
dc.subjectObesityen_US
dc.subjectArtificial neural networken_US
dc.subjectK-nearest neighbouren_US
dc.titleDeveloping Deep Learning-based Prediction Model for Obesity in Childhooden_US
dc.typeProject Reporten_US
Appears in Collections:B.Tech. Project Reports

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