GROWTH: Functional Data Analysis of the human height postnatal growth in an on-line application
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F21%3APU142983" target="_blank" >RIV/00216305:26230/21:PU142983 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216224:14310/21:00119905
Výsledek na webu
<a href="https://journals.muni.cz/anthropologia_integra/article/viewFile/18581/14682" target="_blank" >https://journals.muni.cz/anthropologia_integra/article/viewFile/18581/14682</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5817/AI2021-2-7" target="_blank" >10.5817/AI2021-2-7</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
GROWTH: Functional Data Analysis of the human height postnatal growth in an on-line application
Popis výsledku v původním jazyce
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. The 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.
Název v anglickém jazyce
GROWTH: Functional Data Analysis of the human height postnatal growth in an on-line application
Popis výsledku anglicky
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. The 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.
Klasifikace
Druh
J<sub>ost</sub> - Ostatní články v recenzovaných periodicích
CEP obor
—
OECD FORD obor
50404 - Anthropology, ethnology
Návaznosti výsledku
Projekt
<a href="/cs/project/TL01000394" target="_blank" >TL01000394: Počítačová podpora pro analýzu a predikci růstu a vývoje dítěte</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Anthropologia integra
ISSN
1804-6657
e-ISSN
—
Svazek periodika
2021
Číslo periodika v rámci svazku
2
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
10
Strana od-do
7-17
Kód UT WoS článku
—
EID výsledku v databázi Scopus
—