Search Results - "Vicuna Polo, Stephanny"
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Machine learning techniques for identifying mental health risk factor associated with schoolchildren cognitive ability living in politically violent environments
Published in Frontiers in psychiatry (26-05-2023)“…Mental health and cognitive development are critical aspects of a child's overall well-being; they can be particularly challenging for children living in…”
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Hybrid Ensemble Deep Learning Model for Advancing Ischemic Brain Stroke Detection and Classification in Clinical Application
Published in Journal of imaging (02-07-2024)“…Ischemic brain strokes are severe medical conditions that occur due to blockages in the brain's blood flow, often caused by blood clots or artery blockages…”
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Machine Learning Approach for Predicting the Impact of Food Insecurity on Nutrient Consumption and Malnutrition in Children Aged 6 Months to 5 Years
Published in Children (Basel) (01-07-2024)“…Food insecurity significantly impacts children's health, affecting their development across cognitive, physical, and socio-emotional dimensions. This study…”
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Investigating the Association between Nutrient Intake and Food Insecurity among Children and Adolescents in Palestine Using Machine Learning Techniques
Published in Children (Basel) (23-05-2024)“…Food insecurity is a public health concern that affects children worldwide, yet it represents a particular burden for low- and middle-income countries. This…”
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Assessment and Prediction of Depression and Anxiety Risk Factors in Schoolchildren: Machine Learning Techniques Performance Analysis
Published in JMIR formative research (31-08-2022)“…Depression and anxiety symptoms in early childhood have a major effect on children's mental health growth and cognitive development. The effect of mental…”
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Machine learning techniques for the identification of risk factors associated with food insecurity among adults in Arab countries during the COVID-19 pandemic
Published in BMC public health (16-09-2023)“…Abstract Background A direct consequence of global warming, and strongly correlated with poor physical and mental health, food insecurity is a rising global…”
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The association between food preferences, eating behavior, and body weight among female university students in the United Arab Emirates
Published in Frontiers in public health (23-07-2024)“…This cross-sectional study investigated the associations between lifestyle, eating habits, food preferences, consumption patterns, and obesity among female…”
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Prevalence and risk factors associated with dysglycemia among overweight and obese Palestinian children in the Hebron governorate [version 1; peer review: 1 approved with reservations]
Published in F1000 research (2023)“…Background: The prevalence of dysglycemia among adolescents and younger children has been rising, yet health professionals are still unaware of the…”
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Prevalence and risk factors associated with dysglycemia among overweight and obese Palestinian adolescents in the Hebron governorate [version 2; peer review: 1 approved]
Published in F1000 research (2023)“…Background: The prevalence of dysglycemia among adolescents and younger children has been rising, yet health professionals are still unaware of the…”
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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
Published in European journal of nutrition (01-08-2024)“…Purpose This study utilized data mining and machine learning (ML) techniques to identify new patterns and classifications of the associations between nutrient…”
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Hybrid ensemble deep learning model for advancing breast cancer detection and classification in clinical applications
Published in Heliyon (15-10-2024)“…Being the most common type of cancer worldwide, and affecting over 2.3 million women, breast cancer poses a significant health threat. Although survival rates…”
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Machine Learning Techniques for Tomato Plant Diseases Clustering, Prediction and Classification
Published in 2021 International Conference on Promising Electronic Technologies (ICPET) (01-11-2021)“…The agriculture sector in Palestine faces several challenges that affect the quality of crop yields, including plant diseases. Plant diseases may be caused by…”
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