@article{ART003332788},
author={Kyu-Seok Kim and Narae Jung and Jung Yun Kang},
title={An artificial intelligence-based predictive model for periodontal disease expenditures using community-level health environmental factors from public data},
journal={Journal of Korean society of Dental Hygiene},
issn={2287-1705},
year={2026},
volume={26},
number={2},
pages={243-252},
doi={10.13065/jksdh.2026.26.2.11}
TY - JOUR
AU - Kyu-Seok Kim
AU - Narae Jung
AU - Jung Yun Kang
TI - An artificial intelligence-based predictive model for periodontal disease expenditures using community-level health environmental factors from public data
JO - Journal of Korean society of Dental Hygiene
PY - 2026
VL - 26
IS - 2
PB - Korean Society of Dental Hygiene
SP - 243
EP - 252
SN - 2287-1705
AB - Objectives: This study aimed to develop and evaluate a deep neural network (DNN)-based predictive model for periodontal disease expenditures using community-level health environmental factors derived from public data. Methods: A total of 1,020 monthly records from 17 regions between January 2020 and December 2024 were analyzed. Independent variables included health behaviors, demographic characteristics, socioeconomic factors, and healthcare resource accessibility. A DNN model was constructed and evaluated using the mean absolute percentage error (MAPE), while permutation feature importance (PFI) was applied to quantify the relative contribution of each variable. Results: The DNN model achieved a mean MAPE of 11.01% (range: 9.35–12.51; SD: 0.83) across 10 repeated trials, indicating good predictive performance according to the Lewis (1982) criteria. PFI analysis identified total population, proportion of single-person households, and gender ratio as the most influential predictors of periodontal disease expenditures. Conclusions: These findings suggest that periodontal disease expenditures are shaped by complex interactions among demographic, socioeconomic, and behavioral factors, which can be effectively captured by AI-based predictive models. This study provides preliminary evidence that healthcare resource allocation and oral health policy development can benefit from AI-based approaches utilizing publicly available data.
KW - Artificial intelligence;Health expenditures;Periodontal diseases;Public health data;Socioeconomic factors
DO - 10.13065/jksdh.2026.26.2.11
ER -
Kyu-Seok Kim, Narae Jung and Jung Yun Kang. (2026). An artificial intelligence-based predictive model for periodontal disease expenditures using community-level health environmental factors from public data. Journal of Korean society of Dental Hygiene, 26(2), 243-252.
Kyu-Seok Kim, Narae Jung and Jung Yun Kang. 2026, "An artificial intelligence-based predictive model for periodontal disease expenditures using community-level health environmental factors from public data", Journal of Korean society of Dental Hygiene, vol.26, no.2 pp.243-252. Available from: doi:10.13065/jksdh.2026.26.2.11
Kyu-Seok Kim, Narae Jung, Jung Yun Kang "An artificial intelligence-based predictive model for periodontal disease expenditures using community-level health environmental factors from public data" Journal of Korean society of Dental Hygiene 26.2 pp.243-252 (2026) : 243.
Kyu-Seok Kim, Narae Jung, Jung Yun Kang. An artificial intelligence-based predictive model for periodontal disease expenditures using community-level health environmental factors from public data. 2026; 26(2), 243-252. Available from: doi:10.13065/jksdh.2026.26.2.11
Kyu-Seok Kim, Narae Jung and Jung Yun Kang. "An artificial intelligence-based predictive model for periodontal disease expenditures using community-level health environmental factors from public data" Journal of Korean society of Dental Hygiene 26, no.2 (2026) : 243-252.doi: 10.13065/jksdh.2026.26.2.11
Kyu-Seok Kim; Narae Jung; Jung Yun Kang. An artificial intelligence-based predictive model for periodontal disease expenditures using community-level health environmental factors from public data. Journal of Korean society of Dental Hygiene, 26(2), 243-252. doi: 10.13065/jksdh.2026.26.2.11
Kyu-Seok Kim; Narae Jung; Jung Yun Kang. An artificial intelligence-based predictive model for periodontal disease expenditures using community-level health environmental factors from public data. Journal of Korean society of Dental Hygiene. 2026; 26(2) 243-252. doi: 10.13065/jksdh.2026.26.2.11
Kyu-Seok Kim, Narae Jung, Jung Yun Kang. An artificial intelligence-based predictive model for periodontal disease expenditures using community-level health environmental factors from public data. 2026; 26(2), 243-252. Available from: doi:10.13065/jksdh.2026.26.2.11
Kyu-Seok Kim, Narae Jung and Jung Yun Kang. "An artificial intelligence-based predictive model for periodontal disease expenditures using community-level health environmental factors from public data" Journal of Korean society of Dental Hygiene 26, no.2 (2026) : 243-252.doi: 10.13065/jksdh.2026.26.2.11
