Awareness of Teachers in a Region on School Dental Clinics and Preventive Programs

Ju, On-Ju; Jang, yun jung

doi:10.17135/jdhs.2015.15.1.18

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…Topic 8 was named "Oral Care System or Service," derived from major keywords such as "Management," "System," "Provide," "Service," and "Method," concluding the analysis. With the growing interest in oral health, governments have been continuously implementing oral health promotion programs targeting vulnerable populations, such as students, seniors, and people with disabilities, by establishing oral health clinics and regional clinics for dental care 43,44) . With the evolving trends of the times, the approach to providing oral health services has transformed.…”

Section: Key Results and Comparisonmentioning

confidence: 99%

Patent Technology Trends of Oral Health: Application of Text Mining

Bak,

Kim,

Kim

2024

J Dent Hyg Sci

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Background: The purpose of this study was to utilize text network analysis and topic modeling to identify interconnected relationships among keywords present in patent information related to oral health, and subsequently extract latent topics and visualize them. By examining key keywords and specific subjects, this study sought to comprehend the technological trends in oral health-related innovations. Furthermore, it aims to serve as foundational material, suggesting directions for technological advancement in dentistry and dental hygiene. Methods: The data utilized in this study consisted of information registered over a 20-year period until July 31st, 2023, obtained from the patent information retrieval service, KIPRIS. A total of 6,865 patent titles related to keywords, such as "dentistry," "teeth," and "oral health," were collected through the searches. The research tools included a custom-designed program coded specifically for the research objectives based on Python 3.10. This program was used for keyword frequency analysis, semantic network analysis, and implementation of Latent Dirichlet Allocation for topic modeling. Results: Upon analyzing the centrality of connections among the top 50 frequently occurring words, "method," "tooth," and "manufacturing" displayed the highest centrality, while "active ingredient" had the lowest. Regarding topic modeling outcomes, the "implant" topic constituted the largest share at 22.0%, while topics concerning "devices and materials for oral health" and "toothbrushes and oral care" exhibited the lowest proportions at 5.5% each. Conclusion: Technologies concerning methods and implants are continually being researched in patents related to oral health, while there is comparatively less technological development in devices and materials for oral health. This study is expected to be a valuable resource for uncovering potential themes from a large volume of patent titles and suggesting research directions.

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Section: Key Results and Comparisonmentioning

confidence: 99%