KLÍMA, Ondřej, Martin ČUTA, Lenka POLCEROVÁ, Pavel ZEMČÍK, Anna ŠKULTÉTYOVÁ, Dominik ČERNÝ and Miroslav KRÁLÍK. GROWTH: Functional Data Analysis of the human height postnatal growth in an on-line application. Anthropologia Integra. Brno, Česká republika: Masarykova univerzita, 2021, vol. 12, No 2, p. 7-17. ISSN 1804-6657. Available from: https://dx.doi.org/10.5817/AI2021-2-7. |
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@article{1812481, author = {Klíma, Ondřej and Čuta, Martin and Polcerová, Lenka and Zemčík, Pavel and Škultétyová, Anna and Černý, Dominik and Králík, Miroslav}, article_location = {Brno, Česká republika}, article_number = {2}, doi = {http://dx.doi.org/10.5817/AI2021-2-7}, keywords = {body height; postnatal growth; growth modelling; growth curve; Functional Data Analysis}, language = {eng}, issn = {1804-6657}, journal = {Anthropologia Integra}, title = {GROWTH: Functional Data Analysis of the human height postnatal growth in an on-line application}, url = {https://journals.muni.cz/anthropologia_integra/article/view/18581/14682}, volume = {12}, year = {2021} }
TY - JOUR ID - 1812481 AU - Klíma, Ondřej - Čuta, Martin - Polcerová, Lenka - Zemčík, Pavel - Škultétyová, Anna - Černý, Dominik - Králík, Miroslav PY - 2021 TI - GROWTH: Functional Data Analysis of the human height postnatal growth in an on-line application JF - Anthropologia Integra VL - 12 IS - 2 SP - 7-17 EP - 7-17 PB - Masarykova univerzita SN - 18046657 KW - body height KW - postnatal growth KW - growth modelling KW - growth curve KW - Functional Data Analysis UR - https://journals.muni.cz/anthropologia_integra/article/view/18581/14682 N2 - Monitoring of individual growth is required on daily basis in paediatric practice, oft en accompanied by need for more in-depth analyses. Sports anthropologists and researchers in the fi eld of human biology also need to analyze human growth. To allow clinicians and researchers to monitor human growth and analyze it in advanced manner, easy-to-use free application would be benefi cial. Th e application, GROWTH, was developed based on an understanding of the biological processes of human growth and mathematical approaches that provide the most appropriate model for individual (longitudinal) empirical data. Th e application is designed to be used in daily paediatric practice. It provides clinicians with tools to monitor growth, predict attained height and diagnose pathological growth patterns. Advanced analysis includes the timing of major growth milestones. Th e current version is the culmination of a multi-stage development of the application and is based on Functional Principal Components Analysis method with numerical optimization. Th e output parameters are easy to use and are displayed both numerically and graphically. ER -
KLÍMA, Ondřej, Martin ČUTA, Lenka POLCEROVÁ, Pavel ZEMČÍK, Anna ŠKULTÉTYOVÁ, Dominik ČERNÝ and Miroslav KRÁLÍK. GROWTH: Functional Data Analysis of the human height postnatal growth in an on-line application. \textit{Anthropologia Integra}. Brno, Česká republika: Masarykova univerzita, 2021, vol.~12, No~2, p.~7-17. ISSN~1804-6657. Available from: https://dx.doi.org/10.5817/AI2021-2-7.
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