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        Monitoring The Children's Health Status and Forecasting Height with Nutritional Advice

        Nguyen, Kim Ngan,Ton, Nu Hoang Vi,Vu, Tran Minh Khuong,Bao, Pham The Institute of Korean Electrical and Electronics Eng 2018 전기전자학회논문지 Vol.22 No.3

        Children's health is interesting to parents and society. A system that assists to monitor the development of their children and gives nutritional advices is an interesting of parents. In this study, we present a system that allows to track the heights and weights of a child since he/she was born up to adulthood, to predict his age of puberty, and to provide nutritional advice. Particularly, it predicts the height in near future and the adult stature for detecting the child with abnormal development. We applied Sager's model for predicting the height in near future by using interpolation and regression techniques before puberty. After determining the puberty time, we proposed a model for predicting the height. Then we applied fuzzy logic for evaluating the health status and providing nutritional advice. Our system predicted stature in near future with error bound of $1.7361{\pm}0.0397cm$ in girls and $2.4020{\pm}0.0799cm$ in boys. Our model also gave a reliable adult stature prediction with error bound of $0.3507{\pm}0.2808cm$ in girls and $1.3414{\pm}0.7024cm$ in boys. At the same time, the nutrition was provided appropriately in terms of protein, lipid, glucid. We implemented a program based on this research. Our system promises to improve the health of every child.

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        Monitoring The Children’s Health Status and Forecasting Height with Nutritional Advice

        Kim Ngan Nguyen,Nu Hoang Vi Ton,Tran Minh Khuong Vu,Pham The Bao 한국전기전자학회 2018 전기전자학회논문지 Vol.22 No.3

        Children’s health is interesting to parents and society. A system that assists to monitor the development of their children and gives nutritional advices is an interesting of parents. In this study, we present a system that allows to track the heights and weights of a child since he/she was born up to adulthood, to predict his age of puberty, and to provide nutritional advice. Particularly, it predicts the height in near future and the adult stature for detecting the child with abnormal development. We applied Sager’s model for predicting the height in near future by using interpolation and regression techniques before puberty. After determining the puberty time, we proposed a model for predicting the height. Then we applied fuzzy logic for evaluating the health status and providing nutritional advice. Our system predicted stature in near future with error bound of 1.7361±0.0397 cm in girls and 2.4020±0.0799 cm in boys. Our model also gave a reliable adult stature prediction with error bound of 0.3507±0.2808 cm in girls and 1.3414±0.7024 cm in boys. At the same time, the nutrition was provided appropriately in terms of protein, lipid, glucid. We implemented a program based on this research. Our system promises to improve the health of every child.

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