The aim: of the work was to develop and apply in the clinical trial a software product for the dental caries prediction based on neural network programming.
Materials and methods: Dental examination of 73 persons aged 6-7, 12-15 and 35-44 years was carried out. The data obtained during the survey were used as input for the
construction and training of the neural network. The output index was determined by the increase in the intensity of caries, taking into account the number of cavities. To build a neural network, a high-level Python programming language with the NumPay extension was used.
Results: The intensity of carious dental lesions was the highest in 35-44 years old patients – 6.69 ± 0.38, in 6-7 years old children and 12-15 years old children it was 3.85 ±
0.27 and 2.15 ± 0.24, respectively (p <0.05). After constructing and training the neural network, 61 true and 12 false predictions were obtained based on these indices, the
accuracy of predicting the occurrence of caries was 83.56%. Based on these results, a graphical user interface for the “CariesPro” software application was created.
Conclusions: The resulting neural network and the software product based on it permit to predict the development of dental caries in persons of all ages with a probability
of 83.56%.
The aim: To identify, structure and evaluate the degree of influence of risk factors on the intensity of dental caries in patients with type 1 diabetes mellitus to improve caries-preventive measures.
Materials and methods: 179 patients with type 1 diabetes mellitus aged 18 to 56 years with a disease duration from 1 to 50 years were examined. 157 patients had various chronic diabetic complications. In patients the prevalence and intensity of caries were determined according to the DMFT index and the DMFS index, as well as the state of oral hygiene according to the OHI- S index. To determine the risk factors for dental caries, patients were interviewed using the developed questionnaire “The state of dental health of a patient with diabetes mellitus.”
Results: The most significant factors associated with indicators of the intensity of caries of the DMFT and the DMFS in patients with type 1 diabetes mellitus are xerostomia (r=0.61, p<0.01, and r=0.66, p<0.01), oral hygiene (r=0.57, p<0.01, and r=0.58, p<0.01), sharp fluctuations in blood glucose level (r=0.54, p<0.05, and r=0.59, p<0.05), frequent hypoglycemia (r=0.53, p<0.05, and r=0.56, p<0.05) and consumption of sweets (r=0.52, p<0.01, and r=0.55, p<0.01).
Conclusions: When introducing individualized caries prevention measures in patients with type 1 diabetes, it is necessary to take into account the identified leading cariogenic factors for their elimination or partial correction.
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