A Novel Approach for Predicting Covid 19 Recovered Cases using Nourishment by Comparing KNN over SVM DOI

J.Pavan Kumar,

T. Poovizhi

Published: Dec. 14, 2022

To predict the accuracy value of COVID19 recovered number patients using Nourishment. Material and Methods: For forecasting percentage patient health diet, Novel K Nearest Neighbour with test size (N=10) Support Vector Machine were iterated 20 times to g power as 80 %, threshold 0.014 confidence interval 95%. Sigmoid function is used in prediction probability help enhance accuracy. Results: In comparison 66% percent Accuracy, produced substantial results 94 % Accuracy. statistical significance p=1.000(p<0.05) Independent sample T-test states that study are significant. Conclusion: KNN a straightforward efficient algorithm for quickly building Models machine learning. predicting Health Diet more

Language: Английский

Regional Agriculture and Food Systems Amid the COVID-19 Pandemic: The Case of the Near East and North Africa Region DOI Creative Commons
Hamid El Bilali, Tarek Ben Hassen

Foods, Journal Year: 2024, Volume and Issue: 13(2), P. 297 - 297

Published: Jan. 17, 2024

The COVID-19 pandemic affected agri-food systems worldwide. However, while the impacts differed from one country/region to another, scholarly literature seems focus on developed countries in Global North. Consequently, this review scrutinizes pandemic's Near East and North Africa (NENA) region. A search Web of Science March 2023 generated 334 documents, which 151 were eligible for inclusion systematic review. According bibliometric analysis, most active nations are Saudi Arabia, Egypt, Jordan, United Arab Emirates, Lebanon. In general, coverage studies is better Gulf region than less those suffering wars (cf. Libya, Syria, Yemen). Studies generally crop production downstream food chain distribution consumption). While influenced every pillar security, research concentrates access utilization. Meanwhile, lion's share deals with socio-economic effects, especially linked (in)security health. pandemic, laid bare system vulnerabilities, should be seized foster transition towards more resilient NENA

Language: Английский

Citations

6
Major dietary patterns in relation to disease severity, symptoms, and inflammatory markers in patients recovered from COVID-19 DOI Creative Commons
Armin Ebrahimzadeh,

Mohsen Taghizadeh,

Alireza Milajerdi

et al.

Frontiers in Nutrition, Journal Year: 2022, Volume and Issue: 9

Published: Aug. 19, 2022

COVID-19 is a highly transmissible viral infection with high morbidity. Few studies have been done about dietary intakes in patients COVID-19. This study aimed to evaluate the association between major patterns before diagnosis recovered and risk of disease severity symptoms after begins.Overall, 250 cases both genders completed questionnaires providing data on demographic characteristics, self-reported web-based 168-item food frequency questionnaire (FFQ), outcomes Shahid Beheshti Hospital, Kashan. PCR was used determine positive We multivariable logistic regression models assess outcomes. All statistical analyses were by SPSS version 16.We identified three patterns-unhealthy, traditional, healthy patterns. Serum levels C-reactive protein (CRP) erythrocyte sedimentation rate (ESR) significantly higher unhealthy traditional lower those There significant direct relationship severe hospitalization duration an pattern odds ratio (OR) convalescence duration. A inverse found OR cough, fever, chilling, weakness, myalgia, nausea vomiting, sore throat chilling. In contrast, seen dyspnea, throat.This showed that adherence associated CRP ESR COVID-19, hospitalization, who from More or some symptoms, while for pattern.

Language: Английский

Citations

13
Dietary inflammatory potential in relation to COVID-19 severity and symptoms among individuals recovered from COVID-19: A cross-sectional study DOI
Mohammad Hassan Nemati, Fatemeh Almasi,

Fateme Barforoush

et al.

Nutrition Clinique et Métabolisme, Journal Year: 2024, Volume and Issue: 38(3), P. 203 - 213

Published: Aug. 6, 2024

Language: Английский

Citations

0
Potential food factors affect the fatality rate of COVID-19: an analysis using multiple linear regression DOI Creative Commons
Zihao Yang

Science and Technology of Engineering Chemistry and Environmental Protection, Journal Year: 2024, Volume and Issue: 1(8)

Published: Aug. 14, 2024

The COVID-19 pandemic has caused great harm to people around the world. This article explores relationship between healthy diets and fatality rate of from perspective diets. collects data Kaggle, pre-processes standardizes it, conducts principal component analysis(PCA), divides it into five different dietary patterns(The contribution these patterns is 72.917%, which can be interpreted as component), then constructs a multiple linear regression model. In construction this model, uses idea stepwise remove variables that are not significant, leaving parameters first second components significantly non-zero. results show estimated value parameter for pattern in 0.013, whereas -0.005. Vegetable oils vegetable products negatively correlated with COVID-19, while starchy root foods animal positively it. Finally, conclusion drawn: normal meals, more important pay attention intake foods, try ensure meat should also accompanied by large amount types vegetables. process cooking, use such soybean oil, olive etc., contain lot vitamin E unsaturated fatty acids. For certain high-protein, high-fat products, eat less life. On premise ensuring good eating habits, will have protective effect on COVID-19.

Language: Английский

Citations

0
Association of dietary insulinemic potential with disease severity and symptoms in patients with COVID-19 DOI
Fatemeh Almasi, Mohammad Hassan Nemati,

Minoo Akbarzadeh Morshedi

et al.

Nutrition Clinique et Métabolisme, Journal Year: 2024, Volume and Issue: 38(4), P. 259 - 270

Published: Oct. 24, 2024

Language: Английский

Citations

0
A Novel Approach for Predicting Covid 19 Recovered Cases using Nourishment by Comparing KNN over SVM DOI

J.Pavan Kumar,

T. Poovizhi

Published: Dec. 14, 2022

To predict the accuracy value of COVID19 recovered number patients using Nourishment. Material and Methods: For forecasting percentage patient health diet, Novel K Nearest Neighbour with test size (N=10) Support Vector Machine were iterated 20 times to g power as 80 %, threshold 0.014 confidence interval 95%. Sigmoid function is used in prediction probability help enhance accuracy. Results: In comparison 66% percent Accuracy, produced substantial results 94 % Accuracy. statistical significance p=1.000(p<0.05) Independent sample T-test states that study are significant. Conclusion: KNN a straightforward efficient algorithm for quickly building Models machine learning. predicting Health Diet more

Language: Английский

Citations

0