HANA: A Healthy Artificial Nutrition Analysis model during COVID-19 pandemic.

ABSTRACT:

Background and objective

The impact of diet on COVID-19 patients has been a global concern since the pandemic began. Choosing different types of food affects peoples' mental and physical health and, with persistent consumption of certain types of food and frequent eating, there may be an increased likelihood of death. In this paper, a regression system is employed to evaluate the prediction of death status based on food categories.

Methods

A Healthy Artificial Nutrition Analysis (HANA) model is proposed. The proposed model is used to generate a food recommendation system and track individual habits during the COVID-19 pandemic to ensure healthy foods are recommended. To collect information about the different types of foods that most of the world's population eat, the COVID-

SUBMITTER: Shams MY 

PROVIDER: S-EPMC8241585 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature