Evaluation of Country Dietary Habits Using Machine Learning Techniques in Relation to Deaths from COVID-19

arXiv:2402.12558v1 Announce Type: new
Abstract: COVID-19 disease has affected almost every country in the world. The large number of infected people and the different mortality rates between countries has given rise to many hypotheses about the key points that make the virus so lethal in some places. In this study, the eating habits of 170 countries were evaluated in order to find correlations between these habits and mortality rates caused by COVID-19 using machine learning techniques that group the countries …

abstract arxiv country covid covid-19 cs.lg disease evaluation every habits key machine machine learning machine learning techniques mortality people q-bio.qm the key type virus world