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Analysis of the Impact of Oral Health on Adolescent Quality of Life Using Standard Statistical Methods and Artificial Intelligence Algorithms

The aim of this study was to determine the impact of oral health on adolescent quality of life and to compare the results obtained using standard statistical methods and artificial intelligence algorithms. In order to measure the impact of oral health on adolescent quality of life, a validated Serbi...

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Autores principales: Gajic, Milica, Vojinovic, Jovan, Kalevski, Katarina, Pavlovic, Maja, Kolak, Veljko, Vukovic, Branislava, Mladenovic, Rasa, Aleksic, Ema
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700601/
https://www.ncbi.nlm.nih.gov/pubmed/34943352
http://dx.doi.org/10.3390/children8121156
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author Gajic, Milica
Vojinovic, Jovan
Kalevski, Katarina
Pavlovic, Maja
Kolak, Veljko
Vukovic, Branislava
Mladenovic, Rasa
Aleksic, Ema
author_facet Gajic, Milica
Vojinovic, Jovan
Kalevski, Katarina
Pavlovic, Maja
Kolak, Veljko
Vukovic, Branislava
Mladenovic, Rasa
Aleksic, Ema
author_sort Gajic, Milica
collection PubMed
description The aim of this study was to determine the impact of oral health on adolescent quality of life and to compare the results obtained using standard statistical methods and artificial intelligence algorithms. In order to measure the impact of oral health on adolescent quality of life, a validated Serbian version of the Oral Impacts on Daily Performance (OIDP) scale was used. The total sample comprised 374 respondents. The obtained results were processed using standard statistical methods and machine learning, i.e., artificial intelligence algorithms—singular value decomposition. OIDP score was dichotomized into two categories depending on whether the respondents had or did not have oral or teeth problems affecting their life quality. Human intuition and machine algorithms came to the same conclusion on how the respondents should be divided. As such, method quality and the need to perform analyses of this type in dentistry studies were demonstrated. Using artificial intelligence algorithms, the respondents can be clustered into characteristic groups that allow the discovery of details not possible with the intuitive division of respondents by gender.
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spelling pubmed-87006012021-12-24 Analysis of the Impact of Oral Health on Adolescent Quality of Life Using Standard Statistical Methods and Artificial Intelligence Algorithms Gajic, Milica Vojinovic, Jovan Kalevski, Katarina Pavlovic, Maja Kolak, Veljko Vukovic, Branislava Mladenovic, Rasa Aleksic, Ema Children (Basel) Article The aim of this study was to determine the impact of oral health on adolescent quality of life and to compare the results obtained using standard statistical methods and artificial intelligence algorithms. In order to measure the impact of oral health on adolescent quality of life, a validated Serbian version of the Oral Impacts on Daily Performance (OIDP) scale was used. The total sample comprised 374 respondents. The obtained results were processed using standard statistical methods and machine learning, i.e., artificial intelligence algorithms—singular value decomposition. OIDP score was dichotomized into two categories depending on whether the respondents had or did not have oral or teeth problems affecting their life quality. Human intuition and machine algorithms came to the same conclusion on how the respondents should be divided. As such, method quality and the need to perform analyses of this type in dentistry studies were demonstrated. Using artificial intelligence algorithms, the respondents can be clustered into characteristic groups that allow the discovery of details not possible with the intuitive division of respondents by gender. MDPI 2021-12-08 /pmc/articles/PMC8700601/ /pubmed/34943352 http://dx.doi.org/10.3390/children8121156 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gajic, Milica
Vojinovic, Jovan
Kalevski, Katarina
Pavlovic, Maja
Kolak, Veljko
Vukovic, Branislava
Mladenovic, Rasa
Aleksic, Ema
Analysis of the Impact of Oral Health on Adolescent Quality of Life Using Standard Statistical Methods and Artificial Intelligence Algorithms
title Analysis of the Impact of Oral Health on Adolescent Quality of Life Using Standard Statistical Methods and Artificial Intelligence Algorithms
title_full Analysis of the Impact of Oral Health on Adolescent Quality of Life Using Standard Statistical Methods and Artificial Intelligence Algorithms
title_fullStr Analysis of the Impact of Oral Health on Adolescent Quality of Life Using Standard Statistical Methods and Artificial Intelligence Algorithms
title_full_unstemmed Analysis of the Impact of Oral Health on Adolescent Quality of Life Using Standard Statistical Methods and Artificial Intelligence Algorithms
title_short Analysis of the Impact of Oral Health on Adolescent Quality of Life Using Standard Statistical Methods and Artificial Intelligence Algorithms
title_sort analysis of the impact of oral health on adolescent quality of life using standard statistical methods and artificial intelligence algorithms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700601/
https://www.ncbi.nlm.nih.gov/pubmed/34943352
http://dx.doi.org/10.3390/children8121156
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