Patent Technology Trends of Oral Health: Application of Text Mining
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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.
Abstract
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.
참고문헌 (46)
- Lee KH, "Factors influencing awareness of dental health insurance among adults", J Korean Soc Dent Hyg, 18, pp.771~783 (2018)[DOI]
- Moon KH, "Analysis of preference convergence by analyzing search words for oralcare products : using the Google trend", J Korea Converg Soc, 10, pp.59~64 (2019)[DOI]
- Park HK, "Effects of mouth rinsing with foam vitamins and its intake on reduction in oral microorganisms", J Korean Soc Dent Hyg, 19, pp.387~397 (2019)[DOI]
- Seong HJ, "Influence of clinical characteristics and restriction factors on cooperation for orthodontic treatment in adolescent orthodontic patients", J Dent Hyg Sci, 16, pp.84~92 (2016)[DOI]
- Kang SG, "The treatment of lip protrusion which demands intrusion and bodily movement of upper anterior tooth with antero-posterior lingual retractor combined with clear-aligner", Clin J Korean Assoc Orthod, 9, pp.189~201 (2019)[DOI]
- Lee MH, "Prosthetic treatment in esthetic area with monolithic zirconia using coloring liquid : a case report", J Korean Acad Prosthodont, 60, pp.293~300 (2022)[DOI]
- Bae TS, "Dental applications of ceramic materials for aesthetic restoration and their future prospects", Korean J Dent Mater, 49, pp.77~85 (2022)[DOI]
- Lee SH, "Prospect for 3D printing technology in medical, dental, and pediatric dental field", J Korean Acad Pediatr Dent, 43, pp.93~108 (2016)[DOI]
- Song KT, "A study on the process of identifying emerging technology using patent data : a joint approach of factor analysis and text mining methods", J Intell Prop, 17, pp.169~204 (2022)[DOI]
- Sawng YW, "National comparative study on the technology ecosystem of the smart surgical medical system : focused on the patent data analysis", J Inf Technol Appl Manag, 27, pp.125~145 (2020)[DOI]
- Jo GC, "Using US patent analysis to monitor the technological trend in the field of gastrointestinal microbiome : implications on Korean medicine research and development", J Korean Med, 44, pp.38~55 (2022)[DOI]
- Oh SH, "Monitoring augmented reality technology using topic modeling of patents", J Korean Inst Ind Eng, 43, pp.213~228 (2017)[DOI]
- Park CS, "Using text network analysis for analyzing academic papers in nursing", Perspect Nurs Sci, 16, pp.12~24 (2019)[DOI]
- Kim BR, "Analysis of dental hygienist job recognition using text mining", J Dent Hyg Sci, 21, pp.70~78 (2021)[DOI]
- Rashed M, "Evaluation of extremist cohesion in a darknet forum using ERGM and LDA", Paper presented at: 2019 IEEE, 2019, 899~902[DOI]
- Kim GJ, "Discovering the emerging technologies through patent topic modeling and growth curve model", J Korean Inst Intell Syst, 27, pp.357~363 (2017)[DOI]
- Lee JW, "Sports virtual reality technology monitoring through patent big data analysis : LDA algorithm-based topic modeling", Korean J Converg Sci, 11, pp.185~202 (2022)[DOI]
- Park H, "Properties of a social network topology of livestock movements to slaughterhouse in Korea", J Vet Clin, 33, pp.278~285 (2016)[DOI]
- Han JH, "A study on the healthcare technology trends through patent data analysis", J Digit Converg, 18, pp.179~187 (2020)[DOI]
- Suh YR, "An analysis of the change in media’s reports and attitudes about face masks during the COVID-19 pandemic in South Korea : a study using Big Data latent dirichlet allocation(LDA)topic modelling", J Korea Inst Inf Commun Eng, 25, pp.731~740 (2021)[DOI]
- Kang HA, "A study on search query topics and types using topic modeling and principal components analysis", KIPS Trans Softw Data Eng, 10, pp.223~234 (2021)[DOI]
- Sievert C, "LDAvis: a method for visualizing and interpreting topics", Workshop on Interactive Language Learning, Visualization, and Interfaces, pp.63~70 (2014), Association for Computational Linguistics
- Lee JH, "A study on document summarization using classbased neural topic modeling", J Korean Inst Intell Syst, 32, pp.494~499 (2022)[DOI]
- Kim EH, "A method of calculating topic keywords for topic labeling", J Korea Soc Digit Ind Inf Manag, 16, pp.25~36 (2020)[DOI]
- Lee HS, "What words have the press used to describe children’s smartphone use? : a semantic network analysis and topic modeling of the press article between 2011and 2021", Korean J Commun Inf, 114, pp.204~246 (2022)[DOI]
- Min KB, "A study on the patent trend of ’Smart Farm’ in domestic through network analysis", J Korea Inst Inf Electron Commun Technol, 15, pp.413~422 (2022)[DOI]
- Lee BM, "A study on the medical practice and patent protection system", Inha Law Res Inst, 22, pp.1~40 (2019)[DOI]
- Park JS, "A review on the accuracy assessment methods of 3-dimensional digital dental models", J Dent Rehabil Appl Sci, 35, pp.55~63 (2019)[DOI]
- Yun EK, "Topic modeling and keyword network analysis of news articles related to nurses before and after"the Thanks to You Challenge"during the COVID-19 pandemic", J Korean Acad Nurs, 51, pp.442~453 (2021)[DOI]
- Kim J, "Topic modeling of profit adjustment research trend in Korean accounting", J Digit Converg, 19, pp.125~139 (2021)[DOI]
- Ham SK, "Analysis of media coverage on the issue of"Comfort Women"by daily newspapers in South Korea from 2003 to 2020 : a big data study using topic modeling", Korean J Commun Inf, 111, pp.181~215 (2022)[DOI]
- Chang MS, "Clinical utilization of web based and artificial intelligence driven orthodontic analysis program “WebCeph.”", J Korean Dent Assoc, 60, pp.164~175 (2022)[DOI]
- Choi JS, "Patent trend analysis of the toothbrush", Korean J Oral Maxillofac Pathol, 40, pp.709~720 (2016)[DOI]
- Kim YT, "Past, present and future of the dental implant topography", J Korean Dent Assoc, 59, pp.226~231 (2021)[DOI]
- Kim HD, "Consideration of computer-guided implant surgery", J Korean Acad Esthet Dent, 28, pp.4~17 (2019)[DOI]
- Lee JY, "The use of surgical guide stent for implant placement", J Korean Acad Prosthodont, 52, pp.366~375 (2014)[DOI]
- Hwang DG, "Toothpaste development trend analysis – composition", Korean J Oral Maxillofac Pathol, 40, pp.697~709 (2016)[DOI]
- Im JH, "Factors that affect the bite force measurement", J Dent Rehabil Appl Sci, 32, pp.1~7 (2016)[DOI]
- Lee BK, "Comparison vibration characteristics of several wireless endodontic handpieces", J Dent Rehabil Appl Sci, 38, pp.81~89 (2022)[DOI]
- Sung G, "Development and performance test of a micro bubble irrigation system for root canal cleaning of tooth", J Korean Soc Vis, 14, pp.40~45 (2016)[DOI]
- Hwang JJ, "Future perspectives of artificial intelligence", J Korean Dent Assoc, 60, pp.290~298 (2022)[DOI]
- Choi HC, "Literature analysis of deep learning based dental imaging readings", Health Serv Manag Rev, 14, pp.15~28 (2020)[DOI]
- Ju OJ, "Awareness of teachers in a region on school dental clinics and preventive programs", J Dent Hyg Sci, 15, pp.18~23 (2015)[DOI]
- Lee HI, "Recent progress and future directions of public dental health service for oral health promotion of disabled", J Converg Consil, 4, pp.115~126 (2021)[DOI]
- Lee SB, "‘Daily oral motor exercise for 15 minutes’ for cerebral palsy : a case report for the mobile application development", AAC Res Pract, 3, pp.81~90 (2015)
- Jung JY, "Analysis of oral health-related smartphone applications", J Korean Soc Dent Hyg, 19, pp.493~502 (2019)[DOI]
