Application of artificial intelligence algorithms for testing correlation between state of oral health and adolescent behavior concerning oral health
2020
Background/Aim. A period of adolescence is characterized by turbulent
emotional, physical and physiological changes. There are numerous risk
factors that may endanger the oral health of adolescents as the influence of
parents reduces whilst the influence of the environment and peers increases.
Therefore, the main aim of the study was to determine the behavior of
adolescents concerning oral health, using a new statistical method -
artificial intelligence algorithms. Methods. In the first part of the survey,
data on the behavior of adolescents related to oral health were collected. HU
DBI (Hiroshima University Dental Behavioral Inventory) questionnaire was
used, additionally expanded with three questions. The second part of the
study included clinical examination. The research was conducted at the
Faculty of Dentistry in Pancevo. The first and second grade students were
selected for the observation unit. The total sample consisted of 374 students
(128 males and 246 females). We applied special programming language called
Python for parsing data, creating a database in digital form, processing data
by standard statistical methods and through the SVD (Singular Value
Decomposition) method. Results. The artificial intelligence algorithms
clustered the respondents in two groups, based on their responses from the HU
DBI questionnaire. Thus, the quality of the method and the need for analysis
of this type in dental studies are demonstrated and proven. Conclusion. Based
on the results obtained through artificial intelligence algorithms, we could
conclude that respondents should be rather clustered into characteristic
groups and analyzed, than to be divided and observed according to sex, as it
is intuitive division.
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