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 *

107 related articles for article (PubMed ID: 35068618)

  • 21. 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]  

  • 22. Social Network Analysis of COVID-19 Sentiments: Application of Artificial Intelligence.
    Hung M; Lauren E; Hon ES; Birmingham WC; Xu J; Su S; Hon SD; Park J; Dang P; Lipsky MS
    J Med Internet Res; 2020 Aug; 22(8):e22590. PubMed ID: 32750001
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis.
    Kwok SWH; Vadde SK; Wang G
    J Med Internet Res; 2021 May; 23(5):e26953. PubMed ID: 33886492
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Whether the weather will help us weather the COVID-19 pandemic: Using machine learning to measure twitter users' perceptions.
    Gupta M; Bansal A; Jain B; Rochelle J; Oak A; Jalali MS
    Int J Med Inform; 2021 Jan; 145():104340. PubMed ID: 33242762
    [TBL] [Abstract][Full Text] [Related]  

  • 25. An augmented multilingual Twitter dataset for studying the COVID-19 infodemic.
    Lopez CE; Gallemore C
    Soc Netw Anal Min; 2021; 11(1):102. PubMed ID: 34697560
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Association of "#covid19" Versus "#chinesevirus" With Anti-Asian Sentiments on Twitter: March 9-23, 2020.
    Hswen Y; Xu X; Hing A; Hawkins JB; Brownstein JS; Gee GC
    Am J Public Health; 2021 May; 111(5):956-964. PubMed ID: 33734838
    [No Abstract]   [Full Text] [Related]  

  • 27. A large-scale sentiment analysis of tweets pertaining to the 2020 US presidential election.
    Ali RH; Pinto G; Lawrie E; Linstead EJ
    J Big Data; 2022; 9(1):79. PubMed ID: 35729897
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Using Twitter Comments to Understand People's Experiences of UK Health Care During the COVID-19 Pandemic: Thematic and Sentiment Analysis.
    Ainley E; Witwicki C; Tallett A; Graham C
    J Med Internet Res; 2021 Oct; 23(10):e31101. PubMed ID: 34469327
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Tweets by People With Arthritis During the COVID-19 Pandemic: Content and Sentiment Analysis.
    Berkovic D; Ackerman IN; Briggs AM; Ayton D
    J Med Internet Res; 2020 Dec; 22(12):e24550. PubMed ID: 33170802
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Surveilling COVID-19 Emotional Contagion on Twitter by Sentiment Analysis.
    Crocamo C; Viviani M; Famiglini L; Bartoli F; Pasi G; Carrà G
    Eur Psychiatry; 2021 Feb; 64(1):e17. PubMed ID: 33531097
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Sentiment analysis tracking of COVID-19 vaccine through tweets.
    Sarirete A
    J Ambient Intell Humaniz Comput; 2022 Mar; ():1-9. PubMed ID: 35378971
    [TBL] [Abstract][Full Text] [Related]  

  • 32. COVID-19 Related Sentiment Analysis Using State-of-the-Art Machine Learning and Deep Learning Techniques.
    Jalil Z; Abbasi A; Javed AR; Badruddin Khan M; Abul Hasanat MH; Malik KM; Saudagar AKJ
    Front Public Health; 2021; 9():812735. PubMed ID: 35096755
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Connections between viewing media about President Trump's dietary habits and fast food consumption intentions: Political differences and implications for public health.
    Myrick JG
    Appetite; 2020 Apr; 147():104545. PubMed ID: 31794820
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Dramatic Increases in Telehealth-Related Tweets during the Early COVID-19 Pandemic: A Sentiment Analysis.
    Champagne-Langabeer T; Swank MW; Manas S; Si Y; Roberts K
    Healthcare (Basel); 2021 May; 9(6):. PubMed ID: 34071822
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Evaluation of clustering and topic modeling methods over health-related tweets and emails.
    Lossio-Ventura JA; Gonzales S; Morzan J; Alatrista-Salas H; Hernandez-Boussard T; Bian J
    Artif Intell Med; 2021 Jul; 117():102096. PubMed ID: 34127235
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Sentiment Analysis on COVID-19-Related Social Distancing in Canada Using Twitter Data.
    Shofiya C; Abidi S
    Int J Environ Res Public Health; 2021 Jun; 18(11):. PubMed ID: 34204907
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Emergency Physician Twitter Use in the COVID-19 Pandemic as a Potential Predictor of Impending Surge: Retrospective Observational Study.
    Margus C; Brown N; Hertelendy AJ; Safferman MR; Hart A; Ciottone GR
    J Med Internet Res; 2021 Jul; 23(7):e28615. PubMed ID: 34081612
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Nail in the Coffin or Lifeline? Evaluating the Electoral Impact of COVID-19 on President Trump in the 2020 Election.
    Algara C; Amlani S; Collitt S; Hale I; Kazemian S
    Polit Behav; 2022 Oct; ():1-29. PubMed ID: 36311381
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Ratioing the President: An exploration of public engagement with Obama and Trump on Twitter.
    Minot JR; Arnold MV; Alshaabi T; Danforth CM; Dodds PS
    PLoS One; 2021; 16(4):e0248880. PubMed ID: 33852612
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Understanding Concerns, Sentiments, and Disparities Among Population Groups During the COVID-19 Pandemic Via Twitter Data Mining: Large-scale Cross-sectional Study.
    Zhang C; Xu S; Li Z; Hu S
    J Med Internet Res; 2021 Mar; 23(3):e26482. PubMed ID: 33617460
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.