Analysis of research topics and trends in investigator-initiated research/trials (IIRs/IITs): A topic modeling study5400 Published on 2024-03-082024-09-05 Journal: Medicine [Category] update2024, [키워드] Bibliometric investigator-initiated trials latent Dirichlet allocation Web of Science [DOI] 10.1097/MD.0000000000037375 PMC 바로가기 [Article Type] 5400
Mapping the Bibliometrics Landscape of AI in Medicine: Methodological StudyOriginal Paper Published on 2023-12-082024-09-05 Journal: Journal of Medical Internet Research [Category] update2024, [키워드] AI AI in medicine artificial intelligence latent Dirichlet allocation LDA medical AI taxonomy Python topic modeling Unsupervised machine learning [DOI] 10.2196/45815 PMC 바로가기 [Article Type] Original Paper
Exploring COVID-19-Related Stressors: Topic Modeling StudyCOVID-19 관련 스트레스 요인 탐색: 주제 모델링 연구Article Published on 2022-07-132022-09-11 Journal: Journal of Medical Internet Research [Category] COVID19(2023년), SARS, 변종, [키워드] affected analyzed approach Care change coronavirus COVID-19 COVID-19 pandemic Dashboard data set delta variant distribution Effect family problems Health Health care health informatics identify increase in individual latent Dirichlet allocation Lexicon media mental health mental health problems modeling MONITOR natural language natural language processing organization pandemic Perceived risk platform Prevalence prevalences prevalent psychosocial stressor psychosocial stressors public health public health informatics Reddit reduced significant increase social media Stage Stressor stressors Support The United States Topic topic model topic modeling United States Vaccine were used [DOI] 10.2196/37142 PMC 바로가기 [Article Type] Article
Identifying a New Social Intervention Model of Panic Buying Under Sudden Epidemic갑작스러운 전염병 상황에서 공황 구매의 새로운 사회적 개입 모델 식별Article Published on 2022-03-112022-09-11 Journal: Frontiers in Public Health [Category] 변종, [키워드] affected affecting allocation behavioral decision-making China Combination Community counseling COVID-19 COVID-19 pandemic credibility disease Effectiveness Environmental safety Epidemic example Factor forms Guidance identifying inhibitory effect interruption Intervention intervention effect Latent latent Dirichlet allocation MATLAB measure Measures mechanism Model Monte Carlo method New Occurrence Online and offline Panic panic buying present Prevention and control Psychological Simulation social intervention Spread Strains sudden sudden epidemic supply Supply chain The COVID-19 pandemic Timeliness Topic topic model variant while [DOI] 10.3389/fpubh.2022.842904 PMC 바로가기 [Article Type] Article
How Do Chinese People View Cyberbullying? A Text Analysis Based on Social Media중국인은 사이버 괴롭힘을 어떻게 생각합니까? 소셜 미디어 기반 텍스트 분석Article Published on 2022-02-052022-09-10 Journal: International Journal of Environmental Research an [Category] COVID19(2023년), MERS, SARS, 치료기술, 치료제, [키워드] allocation Analysis anger Anxiety Attitude Chinese Chinese People Cognition component cyberbullying emotion expression Frequency help highest Latent latent Dirichlet allocation media negative emotion Psychological reveal sentiment analysis Sina Weibo social media Support text text analysis Topic topic model turn View was performed web crawler [DOI] 10.3390/ijerph19031822 PMC 바로가기 [Article Type] Article
Internet Rumors During the COVID-19 Pandemic: Dynamics of Topics and Public PsychologiesPublic Health Published on 2021-12-202022-10-31 Journal: Frontiers in Public Health [Category] COVID-19, MERS, SARS, [키워드] allocation Analysis Characteristics contribute count COVID-19 COVID-19 pandemic distribution Dynamics feature Health in-depth analysis Internet internet rumors Latent latent Dirichlet allocation Linguistic Inquiry and Word Count magnitude media outbreak pandemic progression Psychological Psychology Public public health public health emergency public psychologies reflected response rumor Spread Stage statistically suffered topic modeling [DOI] 10.3389/fpubh.2021.788848 PMC 바로가기 [Article Type] Public Health
Ontology-Enabled Emotional Sentiment Analysis on COVID-19 Pandemic-Related Twitter Streams코로나19 팬데믹 관련 트위터 스트림에 대한 온톨로지 지원 감성 감정 분석Public Health Published on 2021-12-062022-09-11 Journal: Frontiers in Public Health [Category] MERS, SARS, 치료기술, [키워드] analyzed approach approaches carried changed COVID-19 detect emotion ontology emotional exponential growth extraction false negatives growth hidden information latent Dirichlet allocation mechanism media natural language processing paradigm performed provide second sentiment analysis social media SPARQL stream true positive true positives twitter streams user-generated content [DOI] 10.3389/fpubh.2021.798905 PMC 바로가기 [Article Type] Public Health
Public sentiment analysis and topic modeling regarding COVID-19 vaccines on the Reddit social media platform: A call to action for strengthening vaccine confidenceReddit 소셜 미디어 플랫폼에서 COVID-19 백신에 대한 대중 감정 분석 및 주제 모델링: 백신 신뢰 강화를 위한 행동 촉구Article Published on 2021-10-012022-09-11 Journal: Journal of infection and public health [Category] SARS, 치료기술, [키워드] allocation Analysis analyzed changed changes in collected Community conducted COVID-19 COVID-19 pandemic COVID-19 vaccine detect expressed facilitate Hesitancy implementation Latent latent Dirichlet allocation media misinformation Polarity positive promote Public Reddit remained sentiment analysis Side effect Side effects social media Spread suggested Topic topic modeling Vaccine Vaccine development Vaccine hesitancy [DOI] 10.1016/j.jiph.2021.08.010 PMC 바로가기 [Article Type] Article
Comparing Public Sentiment Toward COVID-19 Vaccines Across Canadian Cities: Analysis of Comments on RedditOriginal Paper Published on 2021-09-242022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, SARS, [키워드] 95% CI Administered Analysis assigned Calgary can be used Canada Comment communication concern country COVID-19 COVID-19 case COVID-19 vaccine Culture emotion Hesitancy identify latent Dirichlet allocation Local majority media objective opinion pandemic performed platform positively correlated Public public sentiment random Reddit researcher Result sentiment social media Topic Toronto Vaccine Vaccines Variation was used [DOI] 10.2196/32685 PMC 바로가기 [Article Type] Original Paper
Leveraging Transfer Learning to Analyze Opinions, Attitudes, and Behavioral Intentions Toward COVID-19 Vaccines: Social Media Content and Temporal Analysis전이 학습을 활용하여 COVID-19 백신에 대한 의견, 태도 및 행동 의도 분석: 소셜 미디어 콘텐츠 및 시간 분석Original Paper Published on 2021-08-102022-09-10 Journal: Journal of Medical Internet Research [Category] MERS, SARS, 치료기술, [키워드] 95% CI acceptance addition alleviate Analysis approach automatically can be used changed collected content content analysis COVID-19 COVID-19 vaccine COVID-19 vaccines dataset detect educational programs effective followed by infodemiology infoveillance Intention Intervention latent Dirichlet allocation learning leveraging transfer learning Logistic regression machine learning machine learning model machine learning models media objective online health p value p values pandemic positive Prevalence Primary outcome promote provided public health random Random forest Result selected significantly social media statistical Support support vector machine Temporal Temporal analysis Topic transfer unique Vaccine were used [DOI] 10.2196/30251 PMC 바로가기 [Article Type] Original Paper