1.Era of Digital Healthcare: Emergence of the Smart Patient
Dooyoung HUHH ; Kwangsoo SHIN ; Miyeong KIM ; Jisan LEE ; Hana KIM ; Jinho CHOI ; Suyeon BAN
Healthcare Informatics Research 2025;31(1):107-110
2.Era of Digital Healthcare: Emergence of the Smart Patient
Dooyoung HUHH ; Kwangsoo SHIN ; Miyeong KIM ; Jisan LEE ; Hana KIM ; Jinho CHOI ; Suyeon BAN
Healthcare Informatics Research 2025;31(1):107-110
3.Era of Digital Healthcare: Emergence of the Smart Patient
Dooyoung HUHH ; Kwangsoo SHIN ; Miyeong KIM ; Jisan LEE ; Hana KIM ; Jinho CHOI ; Suyeon BAN
Healthcare Informatics Research 2025;31(1):107-110
6.Development and Validation of the Korean Version of the Edinburgh Cognitive and Behavioral Amyotrophic Lateral Sclerosis Screen (ECAS-K)
Jeeun LEE ; Ahwon KIM ; Seok-Jin CHOI ; Eric CHO ; Jaeyoung SEO ; Seong-il OH ; Jinho JUNG ; Ji-Sun KIM ; Jung-Joon SUNG ; Sharon ABRAHAMS ; Yoon-Ho HONG
Journal of Clinical Neurology 2024;20(6):637-637
7.Big Data Analysis on Consumer Perception of Pressure Injuries: Text Mining and Semantic Network Analysis
Kyung Hee PARK ; Jinho LEE ; Soon Chul KWON ; Jaeseung KIM
Journal of Wound Management and Research 2024;20(3):251-260
Background:
With the ultimate goal of developing chatbot content to address consumer inquiries about pressure injuries (PIs), this study analyzed consumer perceptions of PI using big data.
Methods:
This study collected text data, with PI as the central word, from three search engines (Naver, Daum, Google) from January 2019 through December 2022, using Textom version 4.5. The words were refined through text mining, keyword analysis, and TF-IDF (term frequency-inverse document frequency) analysis. N-gram analysis and centrality visualization were conducted using Ucinet 6.0. The keywords and frequencies were clustered based on the frequency of words used in CONCOR (convergence of iteration correlation) analysis.
Results:
Consumers for PI showed a high perception of common sites for PI, concept of PI, healthcare facility for PI, PI products, PI care, PI-related life, and PI-related disease.
Conclusion
Development of chatbot content customized to consumers’ needs, based on seven clusters associated with consumers’ perception of PI obtained through extensive data analysis with PI as the central word, is expected to make a significant contribution to improving consumers’ understanding of PI and enhancing the quality of PI management.
8.Development and Validation of the Korean Version of the Edinburgh Cognitive and Behavioral Amyotrophic Lateral Sclerosis Screen (ECAS-K)
Jeeun LEE ; Ahwon KIM ; Seok-Jin CHOI ; Eric CHO ; Jaeyoung SEO ; Seong-il OH ; Jinho JUNG ; Ji-Sun KIM ; Jung-Joon SUNG ; Sharon ABRAHAMS ; Yoon-Ho HONG
Journal of Clinical Neurology 2024;20(6):637-637
10.Development and Validation of the Korean Version of the Edinburgh Cognitive and Behavioral Amyotrophic Lateral Sclerosis Screen (ECAS-K)
Jeeun LEE ; Ahwon KIM ; Seok-Jin CHOI ; Eric CHO ; Jaeyoung SEO ; Seong-il OH ; Jinho JUNG ; Ji-Sun KIM ; Jung-Joon SUNG ; Sharon ABRAHAMS ; Yoon-Ho HONG
Journal of Clinical Neurology 2024;20(6):637-637

Result Analysis
Print
Save
E-mail