Siham Atari
Biographic Data
| ID | 4465959 |
|---|---|
| NAME | Siham Atari |
| GIVEN NAMES | Siham |
| FAMILY NAME | Atari |
| SIGNATURE | ATARI S |
| AFFILIATIONS | Al-Quds University |
| ORCID | 0009-0008-9035-0552 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
The impact of digital literacy and internet usage on health behaviors and decision-making in Arab Mena countries
The association between food preferences, eating behavior, and body weight among female university students in the United Arab Emirates
Introduction This cross-sectional study investigated the associations between lifestyle, eating habits, food preferences, consumption patterns, and obesity among female university students in the United Arab Emirates (UAE). Methods Approximately 4,728 participants, including both Emirati and Non-Emirati students (International Students). Data collection involved face-to-face interviews and anthropometric measurements, showing an interrelated rela…
Investigating the Association between Nutrient Intake and Food Insecurity among Children and Adolescents in Palestine Using Machine Learning Techniques
Food insecurity is a public health concern that affects children worldwide, yet it represents a particular burden for low- and middle-income countries. This study aims to utilize machine learning to identify the associations between food insecurity and nutrient intake among children aged 5 to 18 years. The study's sample encompassed 1040 participants selected from a 2022 food insecurity household conducted in the West Bank, Palestine. The results…
Machine Learning Approach for Predicting the Impact of Food Insecurity on Nutrient Consumption and Malnutrition in Children Aged 6 Months to 5 Years
This study provides insights into the differential risks for growth issues among children, offering valuable information for targeted interventions and policymaking
No prominent works on this page.
The association between food preferences, eating behavior, and body weight among female university students in the United Arab Emirates
Introduction This cross-sectional study investigated the associations between lifestyle, eating habits, food preferences, consumption patterns, and obesity among female university students in the United Arab Emirates (UAE). Methods Approximately 4,728 participants, including both Emirati and Non-Emirati students (International Students). Data collection involved face-to-face interviews and anthropometric measurements, showing an interrelated rela…
Investigating the Association between Nutrient Intake and Food Insecurity among Children and Adolescents in Palestine Using Machine Learning Techniques
Food insecurity is a public health concern that affects children worldwide, yet it represents a particular burden for low- and middle-income countries. This study aims to utilize machine learning to identify the associations between food insecurity and nutrient intake among children aged 5 to 18 years. The study's sample encompassed 1040 participants selected from a 2022 food insecurity household conducted in the West Bank, Palestine. The results…
Machine Learning Approach for Predicting the Impact of Food Insecurity on Nutrient Consumption and Malnutrition in Children Aged 6 Months to 5 Years
This study provides insights into the differential risks for growth issues among children, offering valuable information for targeted interventions and policymaking
The impact of digital literacy and internet usage on health behaviors and decision-making in Arab Mena countries
Biology (3 works) · Environmental health (3 works) · Medicine (3 works) · Agriculture (2 works) · Child Nutrition and Water Access (2 works) · Economic growth (2 works) · Economics (2 works) · Food insecurity (2 works) · Food security (2 works) · Food Security and Health in Diverse Populations (2 works)