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 *

131 related articles for article (PubMed ID: 36459569)

  • 21. 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]  

  • 22. #WhyWeTweetMH: Understanding Why People Use Twitter to Discuss Mental Health Problems.
    Berry N; Lobban F; Belousov M; Emsley R; Nenadic G; Bucci S
    J Med Internet Res; 2017 Apr; 19(4):e107. PubMed ID: 28381392
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Sociodemographics and Transdiagnostic Mental Health Symptoms in SOCIAL (Studies of Online Cohorts for Internalizing Symptoms and Language) I and II: Cross-sectional Survey and Botometer Analysis.
    Lorenzo-Luaces L; Howard J; Edinger A; Yan HY; Rutter LA; Valdez D; Bollen J
    JMIR Form Res; 2022 Oct; 6(10):e39324. PubMed ID: 36264616
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media Chatter.
    Sarker A; Gonzalez-Hernandez G; Ruan Y; Perrone J
    JAMA Netw Open; 2019 Nov; 2(11):e1914672. PubMed ID: 31693125
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Factors Associated With Mental Health Disorders Among University Students in France Confined During the COVID-19 Pandemic.
    Wathelet M; Duhem S; Vaiva G; Baubet T; Habran E; Veerapa E; Debien C; Molenda S; Horn M; Grandgenèvre P; Notredame CE; D'Hondt F
    JAMA Netw Open; 2020 Oct; 3(10):e2025591. PubMed ID: 33095252
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Covid-19-related stressors, mental disorders, depressive and anxiety symptoms: a cross-sectional, nationally-representative, face-to-face survey in Serbia.
    Marić NP; Lazarević LJB; Priebe S; Mihić LJ; Pejović-Milovančević M; Terzić-Šupić Z; Tošković O; Vuković O; Todorović J; Knežević G
    Epidemiol Psychiatr Sci; 2022 May; 31():e36. PubMed ID: 35607805
    [TBL] [Abstract][Full Text] [Related]  

  • 28. (Mis)Information on Digital Platforms: Quantitative and Qualitative Analysis of Content From Twitter and Sina Weibo in the COVID-19 Pandemic.
    Kreps S; George J; Watson N; Cai G; Ding K
    JMIR Infodemiology; 2022; 2(1):e31793. PubMed ID: 36406147
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Change in Threads on Twitter Regarding Influenza, Vaccines, and Vaccination During the COVID-19 Pandemic: Artificial Intelligence-Based Infodemiology Study.
    Benis A; Chatsubi A; Levner E; Ashkenazi S
    JMIR Infodemiology; 2021; 1(1):e31983. PubMed ID: 34693212
    [TBL] [Abstract][Full Text] [Related]  

  • 30. The Mutual Influence of the World Health Organization (WHO) and Twitter Users During COVID-19: Network Agenda-Setting Analysis.
    Tahamtan I; Potnis D; Mohammadi E; Singh V; Miller LE
    J Med Internet Res; 2022 Apr; 24(4):e34321. PubMed ID: 35275836
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. The mental health impact of the COVID-19 pandemic on people with and without depressive, anxiety, or obsessive-compulsive disorders: a longitudinal study of three Dutch case-control cohorts.
    Pan KY; Kok AAL; Eikelenboom M; Horsfall M; Jörg F; Luteijn RA; Rhebergen D; Oppen PV; Giltay EJ; Penninx BWJH
    Lancet Psychiatry; 2021 Feb; 8(2):121-129. PubMed ID: 33306975
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Dynamics of Health Agency Response and Public Engagement in Public Health Emergency: A Case Study of CDC Tweeting Patterns During the 2016 Zika Epidemic.
    Chen S; Xu Q; Buchenberger J; Bagavathi A; Fair G; Shaikh S; Krishnan S
    JMIR Public Health Surveill; 2018 Nov; 4(4):e10827. PubMed ID: 30467106
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. Analyzing sentiments and themes on cannabis in Canada using 2018 to 2020 Twitter data.
    Najafizada M; Rahman A; Donnan J; Dong Z; Bishop L
    J Cannabis Res; 2022 Apr; 4(1):22. PubMed ID: 35418169
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Mental Health During the COVID-19 Pandemic in the United States: Online Survey.
    Jewell JS; Farewell CV; Welton-Mitchell C; Lee-Winn A; Walls J; Leiferman JA
    JMIR Form Res; 2020 Oct; 4(10):e22043. PubMed ID: 33006939
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A chronological and geographical analysis of personal reports of COVID-19 on Twitter from the UK.
    Golder S; Klein AZ; Magge A; O'Connor K; Cai H; Weissenbacher D; Gonzalez-Hernandez G
    Digit Health; 2022; 8():20552076221097508. PubMed ID: 35574580
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Topics, Trends, and Sentiments of Tweets About the COVID-19 Pandemic: Temporal Infoveillance Study.
    Chandrasekaran R; Mehta V; Valkunde T; Moustakas E
    J Med Internet Res; 2020 Oct; 22(10):e22624. PubMed ID: 33006937
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. 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]  

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