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DC Field | Value | Language |
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dc.contributor.author | Singh, Nandini | - |
dc.contributor.author | Gupta, Pradeep Kumar [Guided by] | - |
dc.date.accessioned | 2023-09-08T10:42:49Z | - |
dc.date.available | 2023-09-08T10:42:49Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9883 | - |
dc.description | Enrolment No. 191413 | en_US |
dc.description.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. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Jaypee University of Information Technology, Solan, H.P. | en_US |
dc.subject | Deep learning | en_US |
dc.subject | Obesity | en_US |
dc.subject | Artificial neural network | en_US |
dc.subject | K-nearest neighbour | en_US |
dc.title | Developing Deep Learning-based Prediction Model for Obesity in Childhood | en_US |
dc.type | Project Report | en_US |
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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