Detail publikačního výsledku

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

KLÍMA, O.; ČUTA, M.; POLCEROVÁ, L.; ZEMČÍK, P.; ŠKULTÉTYOVÁ, A.; KRÁLÍK, M.

Originální název

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

Anglický název

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

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

Monitoring of individual growth is required on daily basis in paediatric practice, oft en accompanied by need for more in-depthanalyses. Sports anthropologists and researchers in the fi eld of human biology also need to analyze human growth. To allow clinicians andresearchers 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 providethe 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 analysisincludes the timing of major growth milestones. The current version is the culmination of a multi-stage development of the application andis based on Functional Principal Components Analysis method with numerical optimization. Th e output parameters are easy to use and aredisplayed both numerically and graphically.

Anglický abstrakt

Monitoring of individual growth is required on daily basis in paediatric practice, oft en accompanied by need for more in-depthanalyses. Sports anthropologists and researchers in the fi eld of human biology also need to analyze human growth. To allow clinicians andresearchers 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 providethe 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 analysisincludes the timing of major growth milestones. The current version is the culmination of a multi-stage development of the application andis based on Functional Principal Components Analysis method with numerical optimization. Th e output parameters are easy to use and aredisplayed both numerically and graphically.

Klíčová slova

body height; postnatal growth; growth modelling; growth curve; Functional Data Analysis

Klíčová slova v angličtině

body height; postnatal growth; growth modelling; growth curve; Functional Data Analysis

Autoři

KLÍMA, O.; ČUTA, M.; POLCEROVÁ, L.; ZEMČÍK, P.; ŠKULTÉTYOVÁ, A.; KRÁLÍK, M.

Rok RIV

2022

Vydáno

15.12.2021

ISSN

1804-6657

Periodikum

Anthropologia integra

Svazek

2021

Číslo

2

Stát

Česká republika

Strany od

7

Strany do

17

Strany počet

10

URL

https://journals.muni.cz/anthropologia_integra/article/viewFile/18581/14682

BibTex

@article{BUT175860,
  author="KLÍMA, O. and ČUTA, M. and POLCEROVÁ, L. and ZEMČÍK, P. and ŠKULTÉTYOVÁ, A. and KRÁLÍK, M.",
  title="GROWTH: Functional Data Analysis of the human height postnatal growth in an on-line application",
  journal="Anthropologia integra",
  year="2021",
  volume="2021",
  number="2",
  pages="7--17",
  doi="10.5817/AI2021-2-7",
  issn="1804-6657",
  url="https://journals.muni.cz/anthropologia_integra/article/viewFile/18581/14682"
}

Dokumenty

18581-41283-1-PB