Publication details

GROWTH: Functional Data Analysis of the human height postnatal growth in an on-line application

Authors

KLÍMA Ondřej ČUTA Martin POLCEROVÁ Lenka ZEMČÍK Pavel ŠKULTÉTYOVÁ Anna ČERNÝ Dominik KRÁLÍK Miroslav

Year of publication 2021
Type Article in Periodical
Magazine / Source Anthropologia Integra
MU Faculty or unit

Faculty of Science

Citation
Web URL
Doi http://dx.doi.org/10.5817/AI2021-2-7
Keywords body height; postnatal growth; growth modelling; growth curve; Functional Data Analysis
Attached files
Description 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.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.

More info