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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 |
Files in This Item:
File | Description | Size | Format | |
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Developing Deep Learning-based Prediction Model for Obesity in Childhood.pdf | 2.39 MB | Adobe PDF | View/Open |
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