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Citing this Article

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Published on 09.07.18 in Vol 20, No 7 (2018): July

This paper is in the following e-collection/theme issue:

Works citing "Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.9413):

(note that this is only a small subset of citations)

  1. Fagherazzi G, Goetzinger C, Rashid MA, Aguayo GA, Huiart L. Digital Health Strategies to Fight COVID-19 Worldwide: Challenges, Recommendations, and a Call for Papers. Journal of Medical Internet Research 2020;22(6):e19284
    CrossRef
  2. Gupta A, Katarya R. Social media based surveillance systems for healthcare using machine learning: A systematic review. Journal of Biomedical Informatics 2020;108:103500
    CrossRef
  3. Chang Y, Chiang W, Wang W, Lin C, Hung L, Tsai Y, Suen J, Chen Y. Google Trends-based non-English language query data and epidemic diseases: a cross-sectional study of the popular search behaviour in Taiwan. BMJ Open 2020;10(7):e034156
    CrossRef
  4. Zhao Y, Guo Y, He X, Wu Y, Yang X, Prosperi M, Jin Y, Bian J. Assessing mental health signals among sexual and gender minorities using Twitter data. Health Informatics Journal 2020;26(2):765
    CrossRef
  5. Amith M, Cohen T, Cunningham R, Savas LS, Smith N, Cuccaro P, Gabay E, Boom J, Schvaneveldt R, Tao C. Mining HPV Vaccine Knowledge Structures of Young Adults From Reddit Using Distributional Semantics and Pathfinder Networks. Cancer Control 2020;27(1):107327481989144
    CrossRef
  6. Mavragani A. Tracking COVID-19 in Europe: Infodemiology Approach. JMIR Public Health and Surveillance 2020;6(2):e18941
    CrossRef
  7. Zhai Y, Yao Y, Guan Q, Liang X, Li X, Pan Y, Yue H, Yuan Z, Zhou J. Simulating urban land use change by integrating a convolutional neural network with vector-based cellular automata. International Journal of Geographical Information Science 2020;34(7):1475
    CrossRef
  8. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
    CrossRef
  9. Rashid MT, Wang D. CovidSens: a vision on reliable social sensing for COVID-19. Artificial Intelligence Review 2020;
    CrossRef
  10. Lili D, Lei S, Gang X. Public opinion analysis of complex network information of local similarity clustering based on intelligent fuzzy system. Journal of Intelligent & Fuzzy Systems 2020;:1
    CrossRef
  11. Shah Z, Surian D, Dyda A, Coiera E, Mandl KD, Dunn AG. Automatically Appraising the Credibility of Vaccine-Related Web Pages Shared on Social Media: A Twitter Surveillance Study. Journal of Medical Internet Research 2019;21(11):e14007
    CrossRef
  12. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439
    CrossRef
  13. Meadows CW, Meadows CZ, Tang L, Liu W. Unraveling Public Health Crises Across Stages: Understanding Twitter Emotions and Message Types During the California Measles Outbreak. Communication Studies 2019;70(4):453
    CrossRef
  14. Du J, Chen Q, Peng Y, Xiang Y, Tao C, Lu Z. ML-Net: multi-label classification of biomedical texts with deep neural networks. Journal of the American Medical Informatics Association 2019;26(11):1279
    CrossRef