A Machine Learning Approach Toward Meal Classification and Assessment of Nutrients Value Based on Weather Conditions

Abstract

Recent research advances in artificial intelligence, machine learning, and neural networks are becoming essential tools for building a wide range of intelligent applications. Moreover, machine learning helps to automate analytical model building. Machine learning based frameworks and approaches allow making well-informed and intelligent choices for improving daily eating habits and extension of healthy lifestyle. This book chapter presents a new machine learning approach for meal classification and assessment of nutrients values based on weather conditions along with new and innovative ideas for further study and research on health care-related applications.

Citation

Bhatia, M., Sharma, S., Hooda, M. and Debnath, N.C. (2020), "A Machine Learning Approach Toward Meal Classification and Assessment of Nutrients Value Based on Weather Conditions", Tanwar, P., Jain, V., Liu, C.-M. and Goyal, V. (Ed.) Big Data Analytics and Intelligence: A Perspective for Health Care, Emerald Publishing Limited, Leeds, pp. 223-241. https://doi.org/10.1108/978-1-83909-099-820201019