این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Journal of Industrial and Systems Engineering، جلد ۱۴، شماره ۲، صفحات ۸۶-۱۱۸
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Analysis of correlation between food consumption habits and COVID-19 outbreak
چکیده انگلیسی مقاله The outbreak of COVID-19 sparked a massive movement among the world's people to control this dangerous and unknown disease. So many nutritionists have made many medical recommendations to control this disease by using special nutrients. In this regard, we decided to examine the effect of two nutrients, protein and fat, which are the main ingredient in many nutrients, on the rate of death and recovery of patients covid-19. Available data from 170 countries worldwide have been examined to discover this effect. Linear and non-linear relationships and the correlation coefficient between response variables and different nutrients have been calculated and analyzed in detail. According to the results, these two elements cannot be considered influential in predicting the current rate with high reliability. Protein and fat have a high nutritional value and play an essential role in human health, but the amount of this need for humans is different, which in turn contradicts the results obtained from patients. Although correlation coefficients are not high, the existence of this correlation still requires further studies in this field. We have also used models such as Decision tree, Rule introduction, and Naive Bayes in our research to predict future results, which will give us an understanding of the results obtained.
کلیدواژه‌های انگلیسی مقاله COVID-19,Data Analysis,decision tree,rule introduction,Naive Bayes
نویسندگان مقاله Zahra Fereidouni |
School of Industrial and Systems Engineering, College of Engineering, University of Tehran, Tehran, Iran

Zahra Mehdizadeh Somarin |
School of Industrial and Systems Engineering, College of Engineering, University of Tehran, Tehran, Iran

Zahra Mohammadnazari |
Kingston Business School, Kingston University, Kingston Hill, Kingston Upon Thames, London, United Kingdom

Amir Aghsami |
School of Industrial and Systems Engineering, College of Engineering, University of Tehran, Tehran, Iran

Fariborz Jolai |
School of Industrial and Systems Engineering, College of Engineering, University of Tehran, Tehran, Iran

نشانی اینترنتی https://www.jise.ir/article_145665_66d639bae26420656cab947578d93020.pdf
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات