Dental age estimation and different predictive ability of various tooth types in the Czech population: data mining methods
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F13%3A10189360" target="_blank" >RIV/00216208:11310/13:10189360 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216208:11120/13:43908034 RIV/00064173:_____/13:#0000311 RIV/68407700:21230/13:00205636
Výsledek na webu
<a href="http://dx.doi.org/10.1127/0003-5548/2013/0311" target="_blank" >http://dx.doi.org/10.1127/0003-5548/2013/0311</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1127/0003-5548/2013/0311" target="_blank" >10.1127/0003-5548/2013/0311</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Dental age estimation and different predictive ability of various tooth types in the Czech population: data mining methods
Popis výsledku v původním jazyce
Dental development is frequently used to estimate age in many anthropological specializations. The aim of this study was to extract an accurate predictive age system for the Czech population and to discover any different predictive ability of various tooth types and their ontogenetic stability during infancy and adolescence. A cross-sectional panoramic X-ray study was based on developmental stages assessment of mandibular teeth (Moorrees et al. 1963) using 1393 individuals aged from 3 to 17 years. Datamining methods were used for dental age estimation. These are based on nonlinear relationships between the predicted age and data sets. Compared with other tested predictive models, the GAME method predicted age with the highest accuracy. Age-interval estimations between the 10th and 90th percentiles ranged from -1.06 to +1.01 years in girls and from -1.13 to +1.20 in boys. Accuracy was expressed by RMS error, which is the average deviation between estimated and chronological age. The pr
Název v anglickém jazyce
Dental age estimation and different predictive ability of various tooth types in the Czech population: data mining methods
Popis výsledku anglicky
Dental development is frequently used to estimate age in many anthropological specializations. The aim of this study was to extract an accurate predictive age system for the Czech population and to discover any different predictive ability of various tooth types and their ontogenetic stability during infancy and adolescence. A cross-sectional panoramic X-ray study was based on developmental stages assessment of mandibular teeth (Moorrees et al. 1963) using 1393 individuals aged from 3 to 17 years. Datamining methods were used for dental age estimation. These are based on nonlinear relationships between the predicted age and data sets. Compared with other tested predictive models, the GAME method predicted age with the highest accuracy. Age-interval estimations between the 10th and 90th percentiles ranged from -1.06 to +1.01 years in girls and from -1.13 to +1.20 in boys. Accuracy was expressed by RMS error, which is the average deviation between estimated and chronological age. The pr
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
AC - Archeologie, antropologie, etnologie
OECD FORD obor
—
Návaznosti výsledku
Projekt
—
Návaznosti
Z - Vyzkumny zamer (s odkazem do CEZ)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Anthropologischer Anzeiger
ISSN
0003-5548
e-ISSN
—
Svazek periodika
70
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
DE - Spolková republika Německo
Počet stran výsledku
15
Strana od-do
331-345
Kód UT WoS článku
000328925900007
EID výsledku v databázi Scopus
—