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European Journal of Nutrition
|
March 21, 2024
Identification and prediction of association patterns between nutrient intake and anemia using machine learning techniques: results from a cross-sectional study with university female students from Palestine
Radwan Qasrawi, Manal Badrasawi, Diala Abu Al-Halawa, et al.
Frontiers in Nutrition
|
August 4, 2025
What drives weight status among female university students? A machine learning analysis of sociodemographic, dietary, and lifestyle determinants
Radwan Qasrawi, Abir Ajab, Leila Cheikh Ismail, et al.
Frontiers in Nutrition
|
August 29, 2022
Dietary intake and lifestyle practices of eastern mediterranean postpartum women before and during COVID-19 pandemic: An internet-based cross-sectional survey
Reema Tayyem, Nahla Al-Bayyari, Narmeen Al-Awwad, et al.
Children (Basel, Switzerland)
|
June 27, 2024
Investigating the Association between Nutrient Intake and Food Insecurity among Children and Adolescents in Palestine Using Machine Learning Techniques
Radwan Qasrawi, Sabri Sgahir, Maysaa Nemer, et al.
Children (Basel, Switzerland)
|
July 27, 2024
Machine Learning Approach for Predicting the Impact of Food Insecurity on Nutrient Consumption and Malnutrition in Children Aged 6 Months to 5 Years
Radwan Qasrawi, Sabri Sgahir, Maysaa Nemer, et al.
BMC Public Health
|
September 16, 2023
Machine learning techniques for the identification of risk factors associated with food insecurity among adults in Arab countries during the COVID-19 pandemic
Radwan Qasrawi, Maha Hoteit, Reema Tayyem, et al.
Thescientificworldjournal
|
July 22, 2014
Spatial and temporal variation in fine particulate matter mass and chemical composition: the Middle East Consortium for Aerosol Research Study
Ziad Abdeen, Radwan Qasrawi, Jongbae Heo, et al.
Plos One
|
September 8, 2025
A structural equation modeling approach to examine determinants of nutritional status in Palestinian children 6-59 months
Ghada Issa, Radwan Qasrawi, Suliman Thwib, et al.
Children (Basel, Switzerland)
|
June 26, 2025
Determinants of Child Growth in Palestine (Ages 5-17): A Structural Equation Modeling Approach to Food Insecurity, Nutrition, and Socioeconomic Factors
Suleiman Thwib, Radwan Qasrawi, Ghada Issa, et al.
F1000Research
|
September 16, 2022
Machine learning techniques for predicting depression and anxiety in pregnant and postpartum women during the COVID-19 pandemic: a cross-sectional regional study
Radwan Qasrawi, Malak Amro, Stephanny VicunaPolo, et al.
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Search research articles
Search
Showing results (21-30 of 41) with videos related to
Sort By:
Page
of 5
European Journal of Nutrition
|
March 21, 2024
Identification and prediction of association patterns between nutrient intake and anemia using machine learning techniques: results from a cross-sectional study with university female students from Palestine
Radwan Qasrawi, Manal Badrasawi, Diala Abu Al-Halawa, et al.
Frontiers in Nutrition
|
August 4, 2025
What drives weight status among female university students? A machine learning analysis of sociodemographic, dietary, and lifestyle determinants
Radwan Qasrawi, Abir Ajab, Leila Cheikh Ismail, et al.
Frontiers in Nutrition
|
August 29, 2022
Dietary intake and lifestyle practices of eastern mediterranean postpartum women before and during COVID-19 pandemic: An internet-based cross-sectional survey
Reema Tayyem, Nahla Al-Bayyari, Narmeen Al-Awwad, et al.
Children (Basel, Switzerland)
|
June 27, 2024
Investigating the Association between Nutrient Intake and Food Insecurity among Children and Adolescents in Palestine Using Machine Learning Techniques
Radwan Qasrawi, Sabri Sgahir, Maysaa Nemer, et al.
Children (Basel, Switzerland)
|
July 27, 2024
Machine Learning Approach for Predicting the Impact of Food Insecurity on Nutrient Consumption and Malnutrition in Children Aged 6 Months to 5 Years
Radwan Qasrawi, Sabri Sgahir, Maysaa Nemer, et al.
BMC Public Health
|
September 16, 2023
Machine learning techniques for the identification of risk factors associated with food insecurity among adults in Arab countries during the COVID-19 pandemic
Radwan Qasrawi, Maha Hoteit, Reema Tayyem, et al.
Thescientificworldjournal
|
July 22, 2014
Spatial and temporal variation in fine particulate matter mass and chemical composition: the Middle East Consortium for Aerosol Research Study
Ziad Abdeen, Radwan Qasrawi, Jongbae Heo, et al.
Plos One
|
September 8, 2025
A structural equation modeling approach to examine determinants of nutritional status in Palestinian children 6-59 months
Ghada Issa, Radwan Qasrawi, Suliman Thwib, et al.
Children (Basel, Switzerland)
|
June 26, 2025
Determinants of Child Growth in Palestine (Ages 5-17): A Structural Equation Modeling Approach to Food Insecurity, Nutrition, and Socioeconomic Factors
Suleiman Thwib, Radwan Qasrawi, Ghada Issa, et al.
F1000Research
|
September 16, 2022
Machine learning techniques for predicting depression and anxiety in pregnant and postpartum women during the COVID-19 pandemic: a cross-sectional regional study
Radwan Qasrawi, Malak Amro, Stephanny VicunaPolo, et al.
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