Child Health through the Lens of Big Data: A Machine Learning Study on Food Habits

P. Vanitha¹ , P. Jayasree²

Section:Research Paper, Product Type: Journal-Paper
Vol.10 , Issue.12 , pp.68-74, Dec-2024

Online published on Dec 31, 2024

Copyright © P. Vanitha, P. Jayasree . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Big data analytics is used to collect, to examine and to analyze the large quantity of data to take decisions. Big data analytics in healthcare examines the large quantity of data from thousands of children through classification process. Infants and young children requirelarge amount of foods to address the nutrient demands to grow physically and mentally. Dietary food habits are linked with child growth resulted in long-term health outcomes. The parents limit their children`s food intake by choosing nutritious foods that are easy to chew and digest. Food consumption is appropriate and meets the nutrients kids need to meet the nutritional requirements that impact their growth and development.

Key-Words / Index Term :
Big data analytics, healthcare, dietary food habits, classification, nutrients, carbohydrates

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