Integrating Big Data and AI in Nutrition: Current Trends and Future Directions
Prantosh Kumar Paul,
Abhijit Bandyopadhyay,
Mustafa Kayyali,
Nilanjan Das,
Ritam Chatterjee and
Sushil K. Sharma
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Prantosh Kumar Paul: Raiganj University, India
Abhijit Bandyopadhyay: Raniganj Institute of Computer and Information Science, India
Mustafa Kayyali: Maaref University of Applied Sciences, Syria
Nilanjan Das: Siliguri Institute of Technology, India
Ritam Chatterjee: Raiganj University, India
Sushil K. Sharma: Texas A&M University, Texarkana, USA
International Journal of Reliable and Quality E-Healthcare (IJRQEH), 2025, vol. 14, issue 1, 1-22
Abstract:
Food nutrition is the source of heat energy in human body. The human body obtains nutrients from food, such as proteins, fats, carbohydrates and so on. Nutrition is very important for human health. The technology is used in every sectors. Indeed, AI is emerging as an important tool in clinical nutrition using telematic means to self-monitor various health metrics, including blood glucose levels, body weight, heart rate, fat percentage, blood pressure, activity tracking and calorie intake trackers. In particular, the most common application of digital technology is in the area of nutrition. Data Analytics and similar technologies play a leading role, and here in this paper different aspect related to the Big-data and Artificial Intelligence with references to the Food and Nutritional Systems have been described with current and future scenario. The existing works related to the fields are well described and reported with major highlights.
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jrqeh0:v:14:y:2025:i:1:p:1-22
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