Analysis of the Impact of Oral Health on Adolescent Quality of Life Using Standard Statistical Methods and Artificial Intelligence Algorithms
Bibliographic Data
| ID | 15715564 |
|---|---|
| Authors | Milica Gajić (0000-0001-8915-7597, Univerzitet Privredna akademija u Novom Sadu), Jovan Vojinović (Univerzitet Privredna akademija u Novom Sadu), Katarina Kalevski (0000-0001-8974-1187, Univerzitet Privredna akademija u Novom Sadu), Maja Pavlović (0000-0003-2332-3155, Univerzitet Privredna akademija u Novom Sadu), Veljko Kolak (0000-0002-4178-410X, Univerzitet Privredna akademija u Novom Sadu), Branislava Vuković (0000-0003-1464-968X, Univerzitet Privredna akademija u Novom Sadu), Raša Mladenović (0000-0003-0767-8423, University of Kragujevac, corresponding author), Ema Aleksić (0000-0001-7007-0176, Univerzitet Privredna akademija u Novom Sadu) |
| Year | 2021 |
| Volume | 8 |
| Issue | 12 |
| Pages | 1156-1156 |
| Publication date | 2021-12-08 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Children (JOURNAL) |
| Journal identifiers | ISSN: 2227-9067 • E-ISSN: 2227-9067 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/children8121156 |
| OpenAlex | W4200309124 |
| Language | EN |
| Citations received | 1 |
| References cited | 32 |
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
Algorithm · Intuition · Machine learning · Oral health · Quality of life (healthcare · Serbian · Computer Science · Dental Health and Care Utilization · Dental Radiography and Imaging · Dentistry · Mathematics · Medicine · Nursing · Oral microbiology and periodontitis research · Psychology · Artificial Intelligence
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Aspectos sociodemográficos e clínicos da qualidade de vida relacionada à saúde bucal em adolescentes
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |