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Predictive Modeling of Underweight Malnutrition Using Neural Networks: Insights from Global Nutrition Datasets

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Al-Azhar University – Gaza
Abunaser B.S.; Adulwahed A.A.; Abu-Naser S.S.
Abunaser, Batool S. (60216139500); Adulwahed, Ahmed A. (60216250000); Abu-Naser, Samy S. (26533902900)
60216139500; 60216250000; 26533902900
2025
Lecture Notes in Networks and Systems
Predictive Modeling of Underweight Malnutrition Using Neural Networks: Insights from Global Nutrition Datasets
1537 LNNS
209
222
Bhateja V.; Oroumchian F.; Tang J.; Omar Z.
Springer Science and Business Media Deutschland GmbH
Faculty of Applied Medical Sciences, Al-Azhar University, Gaza, Palestine; Ministry of Health, Gaza, Palestine; Department of Information Technology, Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine
Abunaser B.S., Faculty of Applied Medical Sciences, Al-Azhar University, Gaza, Palestine; Adulwahed A.A., Ministry of Health, Gaza, Palestine; Abu-Naser S.S., Department of Information Technology, Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine
S.S. Abu-Naser; Department of Information Technology, Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine; email: abunaser@alazhar.edu.ps
0
10.1007/978-981-96-9242-2_16
MAE; Malfunction; Model; Predictive; Underweight
Learning systems; Multilayer neural networks; Nutrition; Prediction models; Public health; Data cleaning; Feature engineerings; Global health; Machine learning techniques; Malfunction; Mean absolute error; Neural-networks; Predictive; Predictive models; Underweight; Developing countries