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 *

98 related articles for article (PubMed ID: 29385132)

  • 1. Social sensing of floods in the UK.
    Arthur R; Boulton CA; Shotton H; Williams HTP
    PLoS One; 2018; 13(1):e0189327. PubMed ID: 29385132
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Diabetes topics associated with engagement on Twitter.
    Harris JK; Mart A; Moreland-Russell S; Caburnay CA
    Prev Chronic Dis; 2015 May; 12():E62. PubMed ID: 25950569
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Terse messaging and public health in the midst of natural disasters: the case of the Boulder floods.
    Sutton J; League C; Sellnow TL; Sellnow DD
    Health Commun; 2015; 30(2):135-43. PubMed ID: 25470438
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Extraction of actionable information from crowdsourced disaster data.
    Kiatpanont R; Tanlamai U; Chongstitvatana P
    J Emerg Manag; 2016; 14(6):377-390. PubMed ID: 28101876
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Social sensing of urban land use based on analysis of Twitter users' mobility patterns.
    Soliman A; Soltani K; Yin J; Padmanabhan A; Wang S
    PLoS One; 2017; 12(7):e0181657. PubMed ID: 28723936
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Utilization of social media in floods assessment using data mining techniques.
    Khan Q; Kalbus E; Zaki N; Mohamed MM
    PLoS One; 2022; 17(4):e0267079. PubMed ID: 35468157
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Who tweets? Deriving the demographic characteristics of age, occupation and social class from twitter user meta-data.
    Sloan L; Morgan J; Burnap P; Williams M
    PLoS One; 2015; 10(3):e0115545. PubMed ID: 25729900
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The social media revolution is changing the conference experience: analytics and trends from eight international meetings.
    Wilkinson SE; Basto MY; Perovic G; Lawrentschuk N; Murphy DG
    BJU Int; 2015 May; 115(5):839-46. PubMed ID: 25130687
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Crowdsourcing Twitter annotations to identify first-hand experiences of prescription drug use.
    Alvaro N; Conway M; Doan S; Lofi C; Overington J; Collier N
    J Biomed Inform; 2015 Dec; 58():280-287. PubMed ID: 26556646
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Quantifying people's experience during flood events with implications for hazard risk communication.
    Tkachenko N; Procter R; Jarvis S
    PLoS One; 2021; 16(1):e0244801. PubMed ID: 33411829
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Towards identifying drug side effects from social media using active learning and crowd sourcing.
    Burkhardt S; Siekiera J; Glodde J; Andrade-Navarro MA; Kramer S
    Pac Symp Biocomput; 2020; 25():319-330. PubMed ID: 31797607
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A comprehensive social media data processing and analytics architecture by using big data platforms: a case study of twitter flood-risk messages.
    Podhoranyi M
    Earth Sci Inform; 2021; 14(2):913-929. PubMed ID: 33727982
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Hookah-Related Twitter Chatter: A Content Analysis.
    Krauss MJ; Sowles SJ; Moreno M; Zewdie K; Grucza RA; Bierut LJ; Cavazos-Rehg PA
    Prev Chronic Dis; 2015 Jul; 12():E121. PubMed ID: 26226068
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Crowdsourcing a Collective Sense of Place.
    Jenkins A; Croitoru A; Crooks AT; Stefanidis A
    PLoS One; 2016; 11(4):e0152932. PubMed ID: 27050432
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The Identification and Analysis of the Centers of Geographical Public Opinions in Flood Disasters Based on Improved Naïve Bayes Network.
    Tang H; Xu H; Rui X; Heng X; Song Y
    Int J Environ Res Public Health; 2022 Aug; 19(17):. PubMed ID: 36078518
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Social-media and newspaper reports reveal large-scale meteorological drivers of floods on Sumatra.
    Baranowski DB; Flatau MK; Flatau PJ; Karnawati D; Barabasz K; Labuz M; Latos B; Schmidt JM; Paski JAI; Marzuki
    Nat Commun; 2020 May; 11(1):2503. PubMed ID: 32427906
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Expressions of Resilience: Social Media Responses to a Flooding Event.
    Anderson AA
    Risk Anal; 2021 Sep; 41(9):1600-1613. PubMed ID: 33190308
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predicting floods with Flickr tags.
    Tkachenko N; Jarvis S; Procter R
    PLoS One; 2017; 12(2):e0172870. PubMed ID: 28235035
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The emerging use of Twitter by urological journals.
    Nason GJ; O'Kelly F; Kelly ME; Phelan N; Manecksha RP; Lawrentschuk N; Murphy DG
    BJU Int; 2015 Mar; 115(3):486-90. PubMed ID: 24925047
    [TBL] [Abstract][Full Text] [Related]  

  • 20. TOWARDS EARLY DISCOVERY OF SALIENT HEALTH THREATS: A SOCIAL MEDIA EMOTION CLASSIFICATION TECHNIQUE.
    Ofoghi B; Mann M; Verspoor K
    Pac Symp Biocomput; 2016; 21():504-15. PubMed ID: 26776213
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.