Journal of IKEEE (전기전자학회논문지)

Institute of Korean Electrical and Electronics Engineers (한국전기전자학회)
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Monitoring The Children's Health Status and Forecasting Height with Nutritional Advice

  • Nguyen, Kim Ngan (Faculty of Mathematics and Applications, Sai Gon University) ;
  • Ton, Nu Hoang Vi (Faculty of Mathematics and Applications, Sai Gon University) ;
  • Vu, Tran Minh Khuong (Math and Computer Science Faculty, Ho Chi Minh University of Science) ;
  • Bao, Pham The (Math and Computer Science Faculty, Ho Chi Minh University of Science)
  • Received : 2018.09.05
  • Accepted : 2018.09.20
  • Published : 2018.09.30
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Abstract

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.

Keywords

References

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