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Updated: Oct 5, 2025

Deep Neural Networks for Image-Based Dietary Assessment
Published on: March 13, 2021
COVID and nutrition: A machine learning perspective
Nafiseh Jafari1, Mohammad Reza Besharati2, Mohammad Izadi2
1Engineering Department, University of Qom, Qom, Iran.
Abstract:
A self-report questionnaire survey was conducted online to collect big data from over 16000 Iranian families (who were the residents of 1000 urban and rural areas of Iran). The resulting data storage contained over 1 M records of data and over 1G records of automatically inferred information. Based on this data storage, a series of machine learning experiments was conducted to investigate the relationship between nutrition and the risk of contracting COVID-19. With highly accurate scores, the findings strongly suggest that foods and water sources containing certain natural bioactive and phytochemical agents may help to reduce the risk of apparent COVID-19 infection.
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