New insight in severe acute respiratory syndrome coronavirus 2 consideration: Applied machine learning for nutrition quality, microbiome and microbial food poisoning concerns

Fatemeh Taslimi; Seyedeh Elham Hosseini Ezabadi; Maed Jabbari; Erfan Ghanbarzadeh; Mandana Ashkan; Farhad Akbari Afkhami; Amir Rigi; Mojtaba Hedayati Ch

About The Authors

Fatemeh Taslimi
Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.

Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran

Seyedeh Elham Hosseini Ezabadi
Department of Nutrition, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Department of Nutrition, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Maed Jabbari
School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran

Erfan Ghanbarzadeh
Microbial Toxins Physiology Group, Universal Scientific Education and Research Network, Rasht, Iran

Mandana Ashkan
Student Research Committee, Guilan University of Medical Sciences, Rasht, Guilan, Iran

Farhad Akbari Afkhami
Department of Chemistry and Biochemistry, University of Alabama, Tuscaloosa, Alabama 35487, United States

Amir Rigi
Microbial Toxins Physiology Group, Universal Scientific Education and Research Network, Rasht, Iran

Mojtaba Hedayati Ch
Department of Microbiology, Virology and Microbial Toxins, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran

Indexing and Abstracting