New insight in severe acute respiratory syndrome coronavirus ۲ consideration: Applied machine learning for nutrition quality, microbiome and microbial food poisoning concerns
سال انتشار: 1401
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 61
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شناسه ملی سند علمی:
JR_JCBIOR-3-2_001
تاریخ نمایه سازی: 14 آذر 1402
چکیده مقاله:
Although almost two years have passed since the beginning of the coronavirus disease ۲۰۱۹ (COVID-۱۹) pandemic in the world, there is still a threat to the health of people at risk and patients. Specialists in various sciences conduct various researches in order to eliminate or reduce the problems caused by this disease. Nutrition is one of the sciences that plays a very important supportive role in this regard. It is important for patients to pay attention to the potential of different diets in preventing or accelerating the healing process. The relationship between nutrition and microbiome regulation or the occurrence of food microbial poisoning is one of the factors that can directly or indirectly play a key role in the body's resilience to COVID-۱۹. In this article, we introduce a link between nutrition, the microbiome, and the incidence of food microbial poisoning that may have great potential in preventing, treating COVID-۱۹, or preventing deterioration in patients. In linking the components of this network, artificial intelligence (AI), machine learning (ML) and data mining (DM) can be important strategies and lead to the creation of a conceptual model called "Balance square", which we will introduce.
کلیدواژه ها:
نویسندگان
Fatemeh Tashimi
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
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