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Machine Learning-Based Analysis of Diagnostic Markers for Malnutrition
Annals of Nutrition and MetabolismIntroduction: Malnutrition leads to negative health outcomes such as delayed recovery, increased hospital stays, and higher costs. The study aimed to develop a predictive tool to diagnose malnutrition using patient data, including anthropometric, phenotypic, and laboratory information.
Nedim Ongun +4 more
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Malnutrition As A Possible Contributing Factor to Learning Disabilities
Journal of Learning Disabilities, 1971Today's consumer is becoming a “label-reader.” Housewives and mothers cannot take for granted that a food that is tasty and easy to prepare is also nutritious. They are clamoring for better information on foods provided for their growing families. Research in nutrition and the effects of particular protein and vitamin deficiencies on brain development ...
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Malnutrition Detection using Deep Learning Models
2023 4th IEEE Global Conference for Advancement in Technology (GCAT), 2023Derrick Roy Edgar Rajappan +2 more
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Management of severe malnutrition: facilitating learning
The Lancet, 2003Dheeraj, Shah, Piyush, Gupta
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Prediction of Child Malnutrition using Machine Learning
2021 10th International Conference on Internet of Everything, Microwave Engineering, Communication and Networks (IEMECON), 2021Shubham Kar +5 more
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Identifying and managing malnutrition in people with learning disabilities
Learning Disability Practice, 2023Karen Ullian, Briony Caffrey
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Malnutrition, Learning and Behavior
The American Journal of Clinical Nutrition, 1967openaire +3 more sources