BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

976 related articles for article (PubMed ID: 31411142)

  • 1. Using Twitter to Understand the Human Bowel Disease Community: Exploratory Analysis of Key Topics.
    Pérez-Pérez M; Pérez-Rodríguez G; Fdez-Riverola F; Lourenço A
    J Med Internet Res; 2019 Aug; 21(8):e12610. PubMed ID: 31411142
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identifying Patients With Inflammatory Bowel Disease on Twitter and Learning From Their Personal Experience: Retrospective Cohort Study.
    Stemmer M; Parmet Y; Ravid G
    J Med Internet Res; 2022 Aug; 24(8):e29186. PubMed ID: 35917151
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Using Social Media Data to Understand the Impact of Promotional Information on Laypeople's Discussions: A Case Study of Lynch Syndrome.
    Bian J; Zhao Y; Salloum RG; Guo Y; Wang M; Prosperi M; Zhang H; Du X; Ramirez-Diaz LJ; He Z; Sun Y
    J Med Internet Res; 2017 Dec; 19(12):e414. PubMed ID: 29237586
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Pediatric Cancer Communication on Twitter: Natural Language Processing and Qualitative Content Analysis.
    Lau N; Zhao X; O'Daffer A; Weissman H; Barton K
    JMIR Cancer; 2024 May; 10():e52061. PubMed ID: 38713506
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Geographic Differences in Cannabis Conversations on Twitter: Infodemiology Study.
    van Draanen J; Tao H; Gupta S; Liu S
    JMIR Public Health Surveill; 2020 Oct; 6(4):e18540. PubMed ID: 33016888
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Examining Tweet Content and Engagement of Canadian Public Health Agencies and Decision Makers During COVID-19: Mixed Methods Analysis.
    Slavik CE; Buttle C; Sturrock SL; Darlington JC; Yiannakoulias N
    J Med Internet Res; 2021 Mar; 23(3):e24883. PubMed ID: 33651705
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Perspectives and Experiences of Patients With Thyroid Cancer at a Global Level: Retrospective Descriptive Study of Twitter Data.
    Meksawasdichai S; Lerksuthirat T; Ongphiphadhanakul B; Sriphrapradang C
    JMIR Cancer; 2023 Aug; 9():e48786. PubMed ID: 37531163
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Topics, Trends, and Sentiments of Tweets About the COVID-19 Pandemic: Temporal Infoveillance Study.
    Chandrasekaran R; Mehta V; Valkunde T; Moustakas E
    J Med Internet Res; 2020 Oct; 22(10):e22624. PubMed ID: 33006937
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Exploring Discussions About Virtual Reality on Twitter to Inform Brain Injury Rehabilitation: Content and Network Analysis.
    Brassel S; Brunner M; Campbell A; Power E; Togher L
    J Med Internet Res; 2024 Jan; 26():e45168. PubMed ID: 38241072
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Applying Multiple Data Collection Tools to Quantify Human Papillomavirus Vaccine Communication on Twitter.
    Massey PM; Leader A; Yom-Tov E; Budenz A; Fisher K; Klassen AC
    J Med Internet Res; 2016 Dec; 18(12):e318. PubMed ID: 27919863
    [TBL] [Abstract][Full Text] [Related]  

  • 11. What are health-related users tweeting? A qualitative content analysis of health-related users and their messages on twitter.
    Lee JL; DeCamp M; Dredze M; Chisolm MS; Berger ZD
    J Med Internet Res; 2014 Oct; 16(10):e237. PubMed ID: 25591063
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Breast Cancer Screening and Social Media: a Content Analysis of Evidence Use and Guideline Opinions on Twitter.
    Nastasi A; Bryant T; Canner JK; Dredze M; Camp MS; Nagarajan N
    J Cancer Educ; 2018 Jun; 33(3):695-702. PubMed ID: 28097527
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using Twitter to Examine Web-Based Patient Experience Sentiments in the United States: Longitudinal Study.
    Sewalk KC; Tuli G; Hswen Y; Brownstein JS; Hawkins JB
    J Med Internet Res; 2018 Oct; 20(10):e10043. PubMed ID: 30314959
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. Exploring the Behavior of Users With Attention-Deficit/Hyperactivity Disorder on Twitter: Comparative Analysis of Tweet Content and User Interactions.
    Chen L; Jeong J; Simpkins B; Ferrara E
    J Med Internet Res; 2023 May; 25():e43439. PubMed ID: 37195757
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Dissemination of Anesthesia Information During the Coronavirus Disease 2019 Pandemic Through Twitter: An Infodemiology Study.
    Gai N; So D; Siddiqui A; Steinberg BE
    Anesth Analg; 2021 Aug; 133(2):515-525. PubMed ID: 33886509
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Tweet content related to sexually transmitted diseases: no joking matter.
    Gabarron E; Serrano JA; Wynn R; Lau AY
    J Med Internet Res; 2014 Oct; 16(10):e228. PubMed ID: 25289463
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Stroke Survivors on Twitter: Sentiment and Topic Analysis From a Gender Perspective.
    Garcia-Rudolph A; Laxe S; Saurí J; Bernabeu Guitart M
    J Med Internet Res; 2019 Aug; 21(8):e14077. PubMed ID: 31452514
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Using Natural Language Processing to Explore Social Media Opinions on Food Security: Sentiment Analysis and Topic Modeling Study.
    Molenaar A; Lukose D; Brennan L; Jenkins EL; McCaffrey TA
    J Med Internet Res; 2024 Mar; 26():e47826. PubMed ID: 38512326
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 49.