Article: Construction of oral health big data analysis platform and intelligent decision support system Journal: International Journal of Information and Communication Technology (IJICT) 2025 Vol.26 No.51 pp.70 - 84 Abstract: Oral diseases pose a global health challenge characterised by highly subjective diagnosis and a lack of intelligent decision-making tools, often exacerbated by fragmented data silos. This study aims to construct a comprehensive big data analytics platform and intelligent decision support system for oral health, enabling data-driven precision diagnosis and treatment through a unified four-layer architecture. The platform integrates multi-source heterogeneous data and employs advanced deep learning models for accurate caries segmentation and periodontitis risk prediction. Experiments on public datasets demonstrate a dice coefficient of 92.5% for caries segmentation and an area under the receiver operating characteristic curve value of 0.94 for periodontitis risk prediction, with results showing statistical significance. The system significantly enhances the automation and interpretability of oral disease analysis, providing a reliable and efficient tool for clinical diagnostic assistance and facilitating personalised treatment planning. Inderscience Publishers - linking academia, business and industry through research

Title: Construction of oral health big data analysis platform and intelligent decision support system

Authors: Wanlu Chen; Wanmeng Li; Yaqiong Li

Addresses: Faculty of Oral Health, Zhengzhou Health College, Zhengzhou, 450064, China ' Faculty of Oral Health, Zhengzhou Health College, Zhengzhou, 450064, China ' Operating Room, Yichuan People's Hospital, Luoyang, 471300, China

Abstract: Oral diseases pose a global health challenge characterised by highly subjective diagnosis and a lack of intelligent decision-making tools, often exacerbated by fragmented data silos. This study aims to construct a comprehensive big data analytics platform and intelligent decision support system for oral health, enabling data-driven precision diagnosis and treatment through a unified four-layer architecture. The platform integrates multi-source heterogeneous data and employs advanced deep learning models for accurate caries segmentation and periodontitis risk prediction. Experiments on public datasets demonstrate a dice coefficient of 92.5% for caries segmentation and an area under the receiver operating characteristic curve value of 0.94 for periodontitis risk prediction, with results showing statistical significance. The system significantly enhances the automation and interpretability of oral disease analysis, providing a reliable and efficient tool for clinical diagnostic assistance and facilitating personalised treatment planning.

Keywords: oral health big data platform; intelligent decision support system; deep learning; periodontitis risk prediction; clinical assisted diagnosis.

DOI: 10.1504/IJICT.2025.151076

International Journal of Information and Communication Technology, 2025 Vol.26 No.51, pp.70 - 84

Received: 08 Sep 2025
Accepted: 23 Oct 2025
Published online: 12 Jan 2026 *

Title: Construction of oral health big data analysis platform and intelligent decision support system

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