BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

239 related articles for article (PubMed ID: 23154246)

  • 1. "Right time, right place" health communication on Twitter: value and accuracy of location information.
    Burton SH; Tanner KW; Giraud-Carrier CG; West JH; Barnes MD
    J Med Internet Res; 2012 Nov; 14(6):e156. PubMed ID: 23154246
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Electronic word of mouth on twitter about physical activity in the United States: exploratory infodemiology study.
    Zhang N; Campo S; Janz KF; Eckler P; Yang J; Snetselaar LG; Signorini A
    J Med Internet Res; 2013 Nov; 15(11):e261. PubMed ID: 24257325
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Monitoring Physical Activity Levels Using Twitter Data: Infodemiology Study.
    Liu S; Chen B; Kuo A
    J Med Internet Res; 2019 Jun; 21(6):e12394. PubMed ID: 31162126
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Mapping tweets to a known disease epidemiology; a case study of Lyme disease in the United Kingdom and Republic of Ireland.
    Tulloch JSP; Vivancos R; Christley RM; Radford AD; Warner JC
    J Biomed Inform; 2019; 100S():100060. PubMed ID: 34384577
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. Analysis of the purpose of state health departments' tweets: information sharing, engagement, and action.
    Thackeray R; Neiger BL; Burton SH; Thackeray CR
    J Med Internet Res; 2013 Nov; 15(11):e255. PubMed ID: 24217361
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Establishing a Link Between Prescription Drug Abuse and Illicit Online Pharmacies: Analysis of Twitter Data.
    Katsuki T; Mackey TK; Cuomo R
    J Med Internet Res; 2015 Dec; 17(12):e280. PubMed ID: 26677966
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Scalable Framework to Detect Personal Health Mentions on Twitter.
    Yin Z; Fabbri D; Rosenbloom ST; Malin B
    J Med Internet Res; 2015 Jun; 17(6):e138. PubMed ID: 26048075
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Impact of Twitter intensity, time, and location on message lapse of bluebird's pursuit of fleas in Madagascar.
    Da'ar OB; Yunus F; Md Hossain N; Househ M
    J Infect Public Health; 2017; 10(4):396-402. PubMed ID: 27423931
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. The reliability of tweets as a supplementary method of seasonal influenza surveillance.
    Aslam AA; Tsou MH; Spitzberg BH; An L; Gawron JM; Gupta DK; Peddecord KM; Nagel AC; Allen C; Yang JA; Lindsay S
    J Med Internet Res; 2014 Nov; 16(11):e250. PubMed ID: 25406040
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Public Concern About Monitoring Twitter Users and Their Conversations to Recruit for Clinical Trials: Survey Study.
    Reuter K; Zhu Y; Angyan P; Le N; Merchant AA; Zimmer M
    J Med Internet Res; 2019 Oct; 21(10):e15455. PubMed ID: 31670698
    [TBL] [Abstract][Full Text] [Related]  

  • 19. "You got to love rosin: Solventless dabs, pure, clean, natural medicine." Exploring Twitter data on emerging trends in Rosin Tech marijuana concentrates.
    Lamy FR; Daniulaityte R; Zatreh M; Nahhas RW; Sheth A; Martins SS; Boyer EW; Carlson RG
    Drug Alcohol Depend; 2018 Feb; 183():248-252. PubMed ID: 29306816
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Utilizing Twitter data for analysis of chemotherapy.
    Zhang L; Hall M; Bastola D
    Int J Med Inform; 2018 Dec; 120():92-100. PubMed ID: 30409350
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.