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Design of Growth Trend Map of Children and Adolescents Based on Bone Age

Accurate height prediction has important reference significance for the development of children and adolescents and the selection of athletes. The current mainstream height prediction methods include the B-P (Bayley–Pinneau) method and the TW2 (Tanner–Whitehouse) method. A large number of documents...

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Autores principales: Chen, Kaiyan, Shi, Weiyuan, Mao, Keji, He, Wenxiu, Ahmed, Ahmedin M., Fang, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205695/
https://www.ncbi.nlm.nih.gov/pubmed/35720919
http://dx.doi.org/10.1155/2022/1325061
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author Chen, Kaiyan
Shi, Weiyuan
Mao, Keji
He, Wenxiu
Ahmed, Ahmedin M.
Fang, Kai
author_facet Chen, Kaiyan
Shi, Weiyuan
Mao, Keji
He, Wenxiu
Ahmed, Ahmedin M.
Fang, Kai
author_sort Chen, Kaiyan
collection PubMed
description Accurate height prediction has important reference significance for the development of children and adolescents and the selection of athletes. The current mainstream height prediction methods include the B-P (Bayley–Pinneau) method and the TW2 (Tanner–Whitehouse) method. A large number of documents show that the B-P method and the TW2 method have relatively large deviations in the lifelong height prediction results of Chinese children and adolescents. Based on the data collected by the Chinese Adolescent Students' Physical Fitness and Growth and Development Health Project in Zhejiang's primary and secondary schools, this paper proposes a graph of height growth trends based on bone age. The height map of age has more reference value. Aiming at the feasibility of the height data in the statistical results, the interpolation prediction method is used to verify the data, and the height growth trend graph is drawn through the method of fitting. Validation results with actual data show that the average error of the lifetime height prediction of the height growth trend map proposed in this paper is 2.1 cm, which is 1.4 cm lower than the 3.5 cm error predicted by the B-P method and 0.4 cm lower than the 2.5 cm error predicted by the TW2 method.
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spelling pubmed-92056952022-06-18 Design of Growth Trend Map of Children and Adolescents Based on Bone Age Chen, Kaiyan Shi, Weiyuan Mao, Keji He, Wenxiu Ahmed, Ahmedin M. Fang, Kai Comput Intell Neurosci Research Article Accurate height prediction has important reference significance for the development of children and adolescents and the selection of athletes. The current mainstream height prediction methods include the B-P (Bayley–Pinneau) method and the TW2 (Tanner–Whitehouse) method. A large number of documents show that the B-P method and the TW2 method have relatively large deviations in the lifelong height prediction results of Chinese children and adolescents. Based on the data collected by the Chinese Adolescent Students' Physical Fitness and Growth and Development Health Project in Zhejiang's primary and secondary schools, this paper proposes a graph of height growth trends based on bone age. The height map of age has more reference value. Aiming at the feasibility of the height data in the statistical results, the interpolation prediction method is used to verify the data, and the height growth trend graph is drawn through the method of fitting. Validation results with actual data show that the average error of the lifetime height prediction of the height growth trend map proposed in this paper is 2.1 cm, which is 1.4 cm lower than the 3.5 cm error predicted by the B-P method and 0.4 cm lower than the 2.5 cm error predicted by the TW2 method. Hindawi 2022-06-10 /pmc/articles/PMC9205695/ /pubmed/35720919 http://dx.doi.org/10.1155/2022/1325061 Text en Copyright © 2022 Kaiyan Chen et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chen, Kaiyan
Shi, Weiyuan
Mao, Keji
He, Wenxiu
Ahmed, Ahmedin M.
Fang, Kai
Design of Growth Trend Map of Children and Adolescents Based on Bone Age
title Design of Growth Trend Map of Children and Adolescents Based on Bone Age
title_full Design of Growth Trend Map of Children and Adolescents Based on Bone Age
title_fullStr Design of Growth Trend Map of Children and Adolescents Based on Bone Age
title_full_unstemmed Design of Growth Trend Map of Children and Adolescents Based on Bone Age
title_short Design of Growth Trend Map of Children and Adolescents Based on Bone Age
title_sort design of growth trend map of children and adolescents based on bone age
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205695/
https://www.ncbi.nlm.nih.gov/pubmed/35720919
http://dx.doi.org/10.1155/2022/1325061
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