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 *

134 related articles for article (PubMed ID: 25333778)

  • 21. Demographic-Based Content Analysis of Web-Based Health-Related Social Media.
    Sadah SA; Shahbazi M; Wiley MT; Hristidis V
    J Med Internet Res; 2016 Jun; 18(6):e148. PubMed ID: 27296242
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Finding influential users of online health communities: a new metric based on sentiment influence.
    Zhao K; Yen J; Greer G; Qiu B; Mitra P; Portier K
    J Am Med Inform Assoc; 2014 Oct; 21(e2):e212-8. PubMed ID: 24449805
    [TBL] [Abstract][Full Text] [Related]  

  • 23. On Predicting Sociodemographic Traits and Emotions from Communications in Social Networks and Their Implications to Online Self-Disclosure.
    Volkova S; Bachrach Y
    Cyberpsychol Behav Soc Netw; 2015 Dec; 18(12):726-36. PubMed ID: 26652673
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Weibo sentiments and stock return: A time-frequency view.
    Xu Y; Liu Z; Zhao J; Su C
    PLoS One; 2017; 12(7):e0180723. PubMed ID: 28672026
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Mining of Opinions on COVID-19 Large-Scale Social Restrictions in Indonesia: Public Sentiment and Emotion Analysis on Online Media.
    Tri Sakti AM; Mohamad E; Azlan AA
    J Med Internet Res; 2021 Aug; 23(8):e28249. PubMed ID: 34280116
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Online Influence and Sentiment of Fitness Tweets: Analysis of Two Million Fitness Tweets.
    Vickey T; Breslin JG
    JMIR Public Health Surveill; 2017 Oct; 3(4):e82. PubMed ID: 29089294
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Social Bots' Sentiment Engagement in Health Emergencies: A Topic-Based Analysis of the COVID-19 Pandemic Discussions on Twitter.
    Shi W; Liu D; Yang J; Zhang J; Wen S; Su J
    Int J Environ Res Public Health; 2020 Nov; 17(22):. PubMed ID: 33238567
    [TBL] [Abstract][Full Text] [Related]  

  • 28. CDNB: CAVIAR-Dragonfly Optimization with Naive Bayes for the Sentiment and Affect Analysis in Social Media.
    Patil HP; Atique M
    Big Data; 2020 Apr; 8(2):107-124. PubMed ID: 32319800
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Changes in Public Sentiment under the Background of Major Emergencies-Taking the Shanghai Epidemic as an Example.
    Zhang B; Lin J; Luo M; Zeng C; Feng J; Zhou M; Deng F
    Int J Environ Res Public Health; 2022 Oct; 19(19):. PubMed ID: 36231895
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Emotions of COVID-19: Content Analysis of Self-Reported Information Using Artificial Intelligence.
    Adikari A; Nawaratne R; De Silva D; Ranasinghe S; Alahakoon O; Alahakoon D
    J Med Internet Res; 2021 Apr; 23(4):e27341. PubMed ID: 33819167
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Do Informational and Emotional Elements Differ between Online Psychological and Physiological Disease Communities in China? A Comparative Study of Depression and Diabetes.
    Yao Z; Ni Z; Zhang B; Du J
    Int J Environ Res Public Health; 2022 Feb; 19(4):. PubMed ID: 35206355
    [TBL] [Abstract][Full Text] [Related]  

  • 32. The geography of happiness: connecting twitter sentiment and expression, demographics, and objective characteristics of place.
    Mitchell L; Frank MR; Harris KD; Dodds PS; Danforth CM
    PLoS One; 2013; 8(5):e64417. PubMed ID: 23734200
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Using Twitter to Better Understand the Spatiotemporal Patterns of Public Sentiment: A Case Study in Massachusetts, USA.
    Cao X; MacNaughton P; Deng Z; Yin J; Zhang X; Allen JG
    Int J Environ Res Public Health; 2018 Feb; 15(2):. PubMed ID: 29393869
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Global Sentiments Surrounding the COVID-19 Pandemic on Twitter: Analysis of Twitter Trends.
    Lwin MO; Lu J; Sheldenkar A; Schulz PJ; Shin W; Gupta R; Yang Y
    JMIR Public Health Surveill; 2020 May; 6(2):e19447. PubMed ID: 32412418
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Life Satisfaction and the Pursuit of Happiness on Twitter.
    Yang C; Srinivasan P
    PLoS One; 2016; 11(3):e0150881. PubMed ID: 26982323
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Happiness is assortative in online social networks.
    Bollen J; Gonçalves B; Ruan G; Mao H
    Artif Life; 2011; 17(3):237-51. PubMed ID: 21554117
    [TBL] [Abstract][Full Text] [Related]  

  • 37. The Contagion of Sentiments during the COVID-19 Pandemic Crisis: The Case of Isolation in Spain.
    Iglesias-Sánchez PP; Vaccaro Witt GF; Cabrera FE; Jambrino-Maldonado C
    Int J Environ Res Public Health; 2020 Aug; 17(16):. PubMed ID: 32824110
    [TBL] [Abstract][Full Text] [Related]  

  • 38. The Resurgence of Cyber Racism During the COVID-19 Pandemic and its Aftereffects: Analysis of Sentiments and Emotions in Tweets.
    Dubey AD
    JMIR Public Health Surveill; 2020 Oct; 6(4):e19833. PubMed ID: 32936772
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Sadness, despair and anger when a patient dies alone from COVID-19: A thematic content analysis of Twitter data from bereaved family members and friends.
    Selman LE; Chamberlain C; Sowden R; Chao D; Selman D; Taubert M; Braude P
    Palliat Med; 2021 Jul; 35(7):1267-1276. PubMed ID: 34016005
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Emotion Correlation Mining Through Deep Learning Models on Natural Language Text.
    Wang X; Kou L; Sugumaran V; Luo X; Zhang H
    IEEE Trans Cybern; 2021 Sep; 51(9):4400-4413. PubMed ID: 32413938
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.