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Article

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

1
Faculty of Stomatology Pancevo, University Business Academy in Novi Sad, 26000 Pancevo, Serbia
2
Faculty of Medical Sciences, Department of Dentistry, University of Kragujevac, 34000 Kragujevac, Serbia
*
Author to whom correspondence should be addressed.
Academic Editors: Maria Grazia Cagetti and Guglielmo Campus
Children 2021, 8(12), 1156; https://doi.org/10.3390/children8121156
Received: 15 November 2021 / Revised: 30 November 2021 / Accepted: 6 December 2021 / Published: 8 December 2021
(This article belongs to the Special Issue Advance Research in Pediatric Dental Disease)
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. View Full-Text
Keywords: adolescents; quality of life; oral health; artificial intelligence adolescents; quality of life; oral health; artificial intelligence
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MDPI and ACS Style

Gajic, M.; Vojinovic, J.; Kalevski, K.; Pavlovic, M.; Kolak, V.; Vukovic, B.; Mladenovic, R.; Aleksic, E. Analysis of the Impact of Oral Health on Adolescent Quality of Life Using Standard Statistical Methods and Artificial Intelligence Algorithms. Children 2021, 8, 1156. https://doi.org/10.3390/children8121156

AMA Style

Gajic M, Vojinovic J, Kalevski K, Pavlovic M, Kolak V, Vukovic B, Mladenovic R, Aleksic E. Analysis of the Impact of Oral Health on Adolescent Quality of Life Using Standard Statistical Methods and Artificial Intelligence Algorithms. Children. 2021; 8(12):1156. https://doi.org/10.3390/children8121156

Chicago/Turabian Style

Gajic, Milica, Jovan Vojinovic, Katarina Kalevski, Maja Pavlovic, Veljko Kolak, Branislava Vukovic, Rasa Mladenovic, and Ema Aleksic. 2021. "Analysis of the Impact of Oral Health on Adolescent Quality of Life Using Standard Statistical Methods and Artificial Intelligence Algorithms" Children 8, no. 12: 1156. https://doi.org/10.3390/children8121156

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