These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

127 related articles for article (PubMed ID: 37192952)

  • 1. Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study.
    Chopra H; Vashishtha A; Pal R; ; Tyagi A; Sethi T
    JMIR Infodemiology; 2023; 3():e34315. PubMed ID: 37192952
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Examining Public Sentiments and Attitudes Toward COVID-19 Vaccination: Infoveillance Study Using Twitter Posts.
    Chandrasekaran R; Desai R; Shah H; Kumar V; Moustakas E
    JMIR Infodemiology; 2022; 2(1):e33909. PubMed ID: 35462735
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and Text Mining Analysis.
    Alhuzali H; Zhang T; Ananiadou S
    J Med Internet Res; 2022 Oct; 24(10):e40323. PubMed ID: 36150046
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Change in Threads on Twitter Regarding Influenza, Vaccines, and Vaccination During the COVID-19 Pandemic: Artificial Intelligence-Based Infodemiology Study.
    Benis A; Chatsubi A; Levner E; Ashkenazi S
    JMIR Infodemiology; 2021; 1(1):e31983. PubMed ID: 34693212
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Dynamics of the Negative Discourse Toward COVID-19 Vaccines: Topic Modeling Study and an Annotated Data Set of Twitter Posts.
    Lindelöf G; Aledavood T; Keller B
    J Med Internet Res; 2023 Apr; 25():e41319. PubMed ID: 36877804
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Artificial Intelligence-Enabled Social Media Analysis for Pharmacovigilance of COVID-19 Vaccinations in the United Kingdom: Observational Study.
    Hussain Z; Sheikh Z; Tahir A; Dashtipour K; Gogate M; Sheikh A; Hussain A
    JMIR Public Health Surveill; 2022 May; 8(5):e32543. PubMed ID: 35144240
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Actions Speak Louder Than Words: Sentiment and Topic Analysis of COVID-19 Vaccination on Twitter and Vaccine Uptake.
    Yousef M; Dietrich T; Rundle-Thiele S
    JMIR Form Res; 2022 Sep; 6(9):e37775. PubMed ID: 36007136
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis.
    Jiang LC; Chu TH; Sun M
    JMIR Infodemiology; 2021; 1(1):e25636. PubMed ID: 34604707
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Adverse Mentions, Negative Sentiment, and Emotions in COVID-19 Vaccine Tweets and Their Association with Vaccination Uptake: Global Comparison of 192 Countries.
    Jun J; Zain A; Chen Y; Kim SH
    Vaccines (Basel); 2022 May; 10(5):. PubMed ID: 35632491
    [No Abstract]   [Full Text] [Related]  

  • 10. Deep Learning Analysis of COVID-19 Vaccine Hesitancy and Confidence Expressed on Twitter in 6 High-Income Countries: Longitudinal Observational Study.
    Zhou X; Song S; Zhang Y; Hou Z
    J Med Internet Res; 2023 Nov; 25():e49753. PubMed ID: 37930788
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Tracking Public Attitudes Toward COVID-19 Vaccination on Tweets in Canada: Using Aspect-Based Sentiment Analysis.
    Jang H; Rempel E; Roe I; Adu P; Carenini G; Janjua NZ
    J Med Internet Res; 2022 Mar; 24(3):e35016. PubMed ID: 35275835
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Assessing COVID-19 Vaccine Hesitancy, Confidence, and Public Engagement: A Global Social Listening Study.
    Hou Z; Tong Y; Du F; Lu L; Zhao S; Yu K; Piatek SJ; Larson HJ; Lin L
    J Med Internet Res; 2021 Jun; 23(6):e27632. PubMed ID: 34061757
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Comprehensive Analysis of COVID-19 Vaccine Discourse by Vaccine Brand on Twitter in Korea: Topic and Sentiment Analysis.
    Park S; Suh YK
    J Med Internet Res; 2023 Jan; 25():e42623. PubMed ID: 36603153
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Analyzing Social Media to Explore the Attitudes and Behaviors Following the Announcement of Successful COVID-19 Vaccine Trials: Infodemiology Study.
    Boucher JC; Cornelson K; Benham JL; Fullerton MM; Tang T; Constantinescu C; Mourali M; Oxoby RJ; Marshall DA; Hemmati H; Badami A; Hu J; Lang R
    JMIR Infodemiology; 2021; 1(1):e28800. PubMed ID: 34447924
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Exploring Coronavirus Disease 2019 Vaccine Hesitancy on Twitter Using Sentiment Analysis and Natural Language Processing Algorithms.
    Bari A; Heymann M; Cohen RJ; Zhao R; Szabo L; Apas Vasandani S; Khubchandani A; DiLorenzo M; Coffee M
    Clin Infect Dis; 2022 May; 74(Suppl_3):e4-e9. PubMed ID: 35568473
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Uncovering the Reasons Behind COVID-19 Vaccine Hesitancy in Serbia: Sentiment-Based Topic Modeling.
    Ljajić A; Prodanović N; Medvecki D; Bašaragin B; Mitrović J
    J Med Internet Res; 2022 Nov; 24(11):e42261. PubMed ID: 36301673
    [TBL] [Abstract][Full Text] [Related]  

  • 17. COVID-19 Vaccine Tweets After Vaccine Rollout: Sentiment-Based Topic Modeling.
    Huangfu L; Mo Y; Zhang P; Zeng DD; He S
    J Med Internet Res; 2022 Feb; 24(2):e31726. PubMed ID: 34783665
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Monitoring User Opinions and Side Effects on COVID-19 Vaccines in the Twittersphere: Infodemiology Study of Tweets.
    Portelli B; Scaboro S; Tonino R; Chersoni E; Santus E; Serra G
    J Med Internet Res; 2022 May; 24(5):e35115. PubMed ID: 35446781
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis.
    Niu Q; Liu J; Kato M; Shinohara Y; Matsumura N; Aoyama T; Nagai-Tanima M
    JMIR Infodemiology; 2022; 2(1):e32335. PubMed ID: 35578643
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Spread of COVID-19 Vaccine Misinformation in the Ninth Inning: Retrospective Observational Infodemic Study.
    Calac AJ; Haupt MR; Li Z; Mackey T
    JMIR Infodemiology; 2022; 2(1):e33587. PubMed ID: 35320982
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.