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 *

212 related articles for article (PubMed ID: 33145473)

  • 1. Identifying propaganda from online social networks during COVID-19 using machine learning techniques.
    Khanday AMUD; Khan QR; Rabani ST
    Int J Inf Technol; 2021; 13(1):115-122. PubMed ID: 33145473
    [TBL] [Abstract][Full Text] [Related]  

  • 2. HAPI: An efficient Hybrid Feature Engineering-based Approach for Propaganda Identification in social media.
    Khanday AMUD; Wani MA; Rabani ST; Khan QR; Abd El-Latif AA
    PLoS One; 2024; 19(7):e0302583. PubMed ID: 38985703
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Dataset for detecting and characterizing Arab computation propaganda on X.
    Almotairy BM; Abdullah M; Alahmadi DH
    Data Brief; 2024 Apr; 53():110089. PubMed ID: 38328292
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach.
    Xue J; Chen J; Hu R; Chen C; Zheng C; Su Y; Zhu T
    J Med Internet Res; 2020 Nov; 22(11):e20550. PubMed ID: 33119535
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Characterizing the Discussion of Antibiotics in the Twittersphere: What is the Bigger Picture?
    Kendra RL; Karki S; Eickholt JL; Gandy L
    J Med Internet Res; 2015 Jun; 17(6):e154. PubMed ID: 26091775
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Detection of Hate Speech in COVID-19-Related Tweets in the Arab Region: Deep Learning and Topic Modeling Approach.
    Alshalan R; Al-Khalifa H; Alsaeed D; Al-Baity H; Alshalan S
    J Med Internet Res; 2020 Dec; 22(12):e22609. PubMed ID: 33207310
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine Learning to Detect Self-Reporting of Symptoms, Testing Access, and Recovery Associated With COVID-19 on Twitter: Retrospective Big Data Infoveillance Study.
    Mackey T; Purushothaman V; Li J; Shah N; Nali M; Bardier C; Liang B; Cai M; Cuomo R
    JMIR Public Health Surveill; 2020 Jun; 6(2):e19509. PubMed ID: 32490846
    [TBL] [Abstract][Full Text] [Related]  

  • 8. "When 'Bad' is 'Good'": Identifying Personal Communication and Sentiment in Drug-Related Tweets.
    Daniulaityte R; Chen L; Lamy FR; Carlson RG; Thirunarayan K; Sheth A
    JMIR Public Health Surveill; 2016 Oct; 2(2):e162. PubMed ID: 27777215
    [TBL] [Abstract][Full Text] [Related]  

  • 9. COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Data Set of Antivaccine Content, Vaccine Misinformation, and Conspiracies.
    Muric G; Wu Y; Ferrara E
    JMIR Public Health Surveill; 2021 Nov; 7(11):e30642. PubMed ID: 34653016
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Use of Machine Learning to Detect Wildlife Product Promotion and Sales on Twitter.
    Xu Q; Li J; Cai M; Mackey TK
    Front Big Data; 2019; 2():28. PubMed ID: 33693351
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Temporal and Location Variations, and Link Categories for the Dissemination of COVID-19-Related Information on Twitter During the SARS-CoV-2 Outbreak in Europe: Infoveillance Study.
    Pobiruchin M; Zowalla R; Wiesner M
    J Med Internet Res; 2020 Aug; 22(8):e19629. PubMed ID: 32790641
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study.
    Abd-Alrazaq A; Alhuwail D; Househ M; Hamdi M; Shah Z
    J Med Internet Res; 2020 Apr; 22(4):e19016. PubMed ID: 32287039
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access.
    Mackey T; Kalyanam J; Klugman J; Kuzmenko E; Gupta R
    J Med Internet Res; 2018 Apr; 20(4):e10029. PubMed ID: 29613851
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Defining facets of social distancing during the COVID-19 pandemic: Twitter analysis.
    Kwon J; Grady C; Feliciano JT; Fodeh SJ
    J Biomed Inform; 2020 Nov; 111():103601. PubMed ID: 33065264
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea.
    Park HW; Park S; Chong M
    J Med Internet Res; 2020 May; 22(5):e18897. PubMed ID: 32325426
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets.
    Du J; Xu J; Song H; Liu X; Tao C
    J Biomed Semantics; 2017 Mar; 8(1):9. PubMed ID: 28253919
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Ontology-Based Healthcare Named Entity Recognition from Twitter Messages Using a Recurrent Neural Network Approach.
    Batbaatar E; Ryu KH
    Int J Environ Res Public Health; 2019 Sep; 16(19):. PubMed ID: 31569654
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Associations Between Exposure to and Expression of Negative Opinions About Human Papillomavirus Vaccines on Social Media: An Observational Study.
    Dunn AG; Leask J; Zhou X; Mandl KD; Coiera E
    J Med Internet Res; 2015 Jun; 17(6):e144. PubMed ID: 26063290
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Using twitter to examine smoking behavior and perceptions of emerging tobacco products.
    Myslín M; Zhu SH; Chapman W; Conway M
    J Med Internet Res; 2013 Aug; 15(8):e174. PubMed ID: 23989137
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Novel Machine Learning Framework for Comparison of Viral COVID-19-Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis.
    Chen S; Zhou L; Song Y; Xu Q; Wang P; Wang K; Ge Y; Janies D
    J Med Internet Res; 2021 Jan; 23(1):e24889. PubMed ID: 33326408
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.