A5049435686- Food Security and Health in Diverse Populations
- Obesity, Physical Activity, Diet
- COVID-19 and Mental Health
- Child Nutrition and Water Access
- COVID-19 Pandemic Impacts
- Brain Tumor Detection and Classification
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Iron Metabolism and Disorders
- Pharmaceutical Practices and Patient Outcomes
- Diet, Metabolism, and Disease
- AI in cancer detection
- Online Learning and Analytics
- Antibiotic Use and Resistance
- Digital Mental Health Interventions
- Folate and B Vitamins Research
- Mobile Health and mHealth Applications
- COVID-19 Clinical Research Studies
- Urban Agriculture and Sustainability
- Pharmacovigilance and Adverse Drug Reactions
- Maternal Mental Health During Pregnancy and Postpartum
- COVID-19 Impact on Reproduction
- Advanced Neural Network Applications
- Food Waste Reduction and Sustainability
- Physical Activity and Health
- Resilience and Mental Health
Al-Quds University
2019-2025
Saudi Arabian Monetary Authority
2022
Zayed University
2022
Antibiotic resistance is an increasing problem worldwide. Dispensing antibiotics without prescription a major contributing factor to antibiotic resistance. Pharmacists as healthcare providers are, in many studies, considered responsible for this practice. This study aims explore Palestinian pharmacists' knowledge, attitudes, and practices concerning A descriptive cross-sectional survey was conducted 2021-2022. random sample of 152 pharmacists selected from the West Bank. Data were collected...
Depression and anxiety symptoms in early childhood have a major effect on children's mental health growth cognitive development. The of problems development has been studied by researchers for the last 2 decades.
Background: Maternal depression and anxiety are significant public health concerns that play an important role in the well-being of mothers children. The COVID-19 pandemic, consequential lockdowns related safety restrictions worldwide negatively affected mental pregnant postpartum women. Methods: This regional study aimed to develop a machine learning (ML) model for prediction maternal anxiety. used dataset collected from five Arab countries during pandemic between July December 2020....
This study utilized data mining and machine learning (ML) techniques to identify new patterns classifications of the associations between nutrient intake anemia among university students.
A direct consequence of global warming, and strongly correlated with poor physical mental health, food insecurity is a rising concern associated low dietary intake. The Coronavirus pandemic has further aggravated among vulnerable communities, thus sparked the conversation equal access, distribution, improvement support programs. This research was designed to identify key features during COVID-19 using Machine learning techniques. Seven machine algorithms were used in model, which dataset 32...
Food insecurity is a public health concern that affects children worldwide, yet it represents particular burden for low- and middle-income countries. This study aims to utilize machine learning identify the associations between food nutrient intake among aged 5 18 years. The study’s sample encompassed 1040 participants selected from 2022 household conducted in West Bank, Palestine. results indicated was significantly associated with dietary sociodemographic factors, such as age, gender,...
Background: Food insecurity significantly impacts children’s health, affecting their development across cognitive, physical, and socio-emotional dimensions. This study explores the impact of food among children aged 6 months to 5 years, focusing on nutrient intake its relationship with various forms malnutrition. Methods: Utilizing machine learning algorithms, this analyzed data from 819 in West Bank investigate sociodemographic health factors associated effects nutritional status. The...
Background: The growth patterns of children and adolescents are influenced by multiple factors. This study employed structural equation modeling (SEM) to determine the primary factors influencing Palestinian in West Bank (WB). Methods: A cross-sectional survey conducted 2022 WB collected data from 1400 households, which 500 with aged 5–17 years were selected for analysis. assessed household food insecurity, socioeconomic status (SES), parental health history, nutritional awareness,...
Insufficient physical activity is considered a strong risk factor associated with non-communicable diseases. This study aimed to assess the impact of COVID-19 on (in)activity behavior in 10 Arab countries before and during lockdown. A cross-sectional using validated online survey was launched originally 38 different countries. The Eastern Mediterranean regional data related Arabic that participated were selected for analysis this study. total 12,433 participants included analysis. mean age...
Nutritional inadequacy has been a major health problem worldwide. One of the many problems that result from it is anemia. Anemia considered concern among all ages, particularly children, as associated with cognitive and developmental delays. Researchers have investigated association between nutritional deficiencies anemia through various methods. As novel analytical methods are needed to ascertain reveal indirect ones, we aimed classify using cluster analysis approach. In this study,...
Carpal tunnel syndrome (CTS) is an entrapment neuropathy with a high level of morbidity if neglected. Boston Tunnel Questionnaire (BCTQ) was designed to track patients' progress after diagnosis. However, few studies showed that this questionnaire might be applicable as screening tool for CTS.This study aims identify the ability BCTQ detect symptoms and functional limitations CTS among potential high-risk population.This cross-sectional involving 366 females, aged 30-60 years, residents West...
The study aims to assess the machine learning techniques in predicting students' associated factors that affect their academic performance.The sample consisted of 5084 middle and high school students between ages 10 17, attending public UNRWA schools West Bank.The 'Health Behaviors School Children' questionnaire for 2013-2014 year was used data collection, then analyzed through order evaluate relationship with student outcomes.Six (Random Forest, Neural Network, Support Vector Machine,...
Tobacco smokers are at high risk of developing severe COVID-19. Lockdown was a chosen strategy to deal with the spread infectious diseases; nonetheless, it influenced people's eating and smoking behaviors. The main objective this study is determine impact COVID-19 lockdown on (waterpipe cigarette) behavior its associations sociodemographic characteristics body mass index.The data were derived from large-scale retrospective cross-sectional using validated online international survey 38...
The study aims to determine students' factors that affect and predict their academic achievements in Science Arts. group consisted of 1945 students grades 5-9, aged 11-16 years studying at public refugee schools West-Bank. data were collected using the health behaviors school children questionnaire 2013-2014 year analyzed Chi-squared Automatic Interaction Detection (CHAID) mining technique discover relationship between associated with performance results indicated 63% model accuracy...
Introduction Mental health and cognitive development are critical aspects of a child’s overall well-being; they can be particularly challenging for children living in politically violent environments. Children conflict areas face range stressors, including exposure to violence, insecurity, displacement, which have profound impact on their mental development. Methods This study examines the environments children. The analysis was conducted using machine learning techniques 2014 behavior...
Abstract Background: A direct consequence of global warming, and strongly correlated with poor physical mental health, food insecurity is a rising concern associated low dietary intake. The Coronavirus pandemic has further aggravated among vulnerable communities, thus sparked the conversation equal access, distribution, improvement support programs. This research was designed to identify key features during COVID-19 using Machine learning techniques. Seven machine algorithms were used in...
Ischemic brain strokes are severe medical conditions that occur due to blockages in the brain’s blood flow, often caused by clots or artery blockages. Early detection is crucial for effective treatment. This study aims improve and classification of ischemic clinical settings introducing a new approach integrates stroke precision enhancement, ensemble deep learning, intelligent lesion segmentation models. The proposed hybrid model was trained tested using dataset 10,000 computed tomography...
The COVID-19 pandemic along with its confinement period boosted lifestyle modifications and impacted women men differently which exacerbated existing gender inequalities. main objective of this paper is to assess the gender-based differentials in food consumption patterns, dietary diversity determinants favoring weight change before amid among Arab from 10 countries.A cross-sectional study was conducted based on a convenience sample 12,447 households' family members (mean age: 33.2 ± 12.9;...
Oncoplastic breast surgery has become a major player in modern surgery.It broadens the indications for breast-conserving surgery. More challenging cases are being treated more with what so-called "extreme oncoplastic surgery" which is defined as operation, using techniques, patient who, most physicians' opinions, requires mastectomy.
<ns4:p><ns4:bold>Background</ns4:bold>: The prevalence of dysglycemia among adolescents and younger children has been rising, yet health professionals are still unaware the significance this problem. According to Palestinian Ministry Health (MOH) records, most diabetic under age 20 in Palestine classified as type I; nonetheless, very limited data available for policymakers frame cost-effective screening programs. This study aims determine a sample obese overweight children, identify risk...
<ns4:p><ns4:bold>Background</ns4:bold>: The prevalence of dysglycemia among adolescents and younger children has been rising, yet health professionals are still unaware the significance this problem. According to Palestinian Ministry Health (MOH) records, most diabetic under age 20 in Palestine classified as type 1; nonetheless, very limited data available for policymakers frame cost-effective screening programs. This study aims determine a sample obese overweight adolescents, identify risk...