Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9883
Title: Developing Deep Learning-based Prediction Model for Obesity in Childhood
Authors: Singh, Nandini
Gupta, Pradeep Kumar [Guided by]
Keywords: Deep learning
Obesity
Artificial neural network
K-nearest neighbour
Issue Date: 2023
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: The 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.
Description: Enrolment No. 191413
URI: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9883
Appears in Collections:B.Tech. Project Reports

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