Optimizing nutrition using machine learning algorithms-a comparative analysis

Document Type

Conference Proceeding

Publication Title

2019 International Conference on Nascent Technologies in Engineering, ICNTE 2019 - Proceedings

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

School

School of Science

Comments

Khan, A., Deshpande, S., & Tripathy, A. K. Optimizing nutrition using machine learning algorithms-a comparative analysis. In proceedings of the IEEE 2019 International Conference on Nascent Technologies in Engineering (ICNTE), Navi Mumbai, India, 2019, (pp. 1-4). https://doi.org/10.1109/ICNTE44896.2019.8946091

Abstract

Nutrition is an essential support of human body development. Poor nourishment can result in reduced immunity, increased vulnerability to various diseases, weakened physical and mental development. Good nutrition is significant for healthy wellbeing. It is one of the facts that an individual must be aware of the current scenario for its own nutrition requirement. With technological advancements like machine learning and allied computing, it's relatively easy to elevate the nutrition-level. In this article, an attempt had made to summarize the comprehensive nutrition profile to develop a recommendation system using machine learning algorithms.

DOI

10.1109/ICNTE44896.2019.8946091

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