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Citing this Article

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Published on 13.06.17 in Vol 3, No 2 (2017): Apr-Jun

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

Works citing "How Do You #relax When You’re #stressed? A Content Analysis and Infodemiology Study of Stress-Related Tweets"

Son Doan, Amanda Ritchart, Nicholas Perry, Juan D Chaparro, Mike Conway

JMIR Public Health Surveill 2017 (Jun 13); 3(2):e35 

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.5939):

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

  1. Brandt HM, Turner-McGrievy G, Friedman DB, Gentile D, Schrock C, Thomas T, West D. Examining the Role of Twitter in Response and Recovery During and After Historic Flooding in South Carolina. Journal of Public Health Management and Practice 2019;25(5):E6
    CrossRef
  2. Doan S, Yang EW, Tilak SS, Li PW, Zisook DS, Torii M. Extracting health-related causality from twitter messages using natural language processing. BMC Medical Informatics and Decision Making 2019;19(S3)
    CrossRef
  3. Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
    CrossRef
  4. Shatte ABR, Hutchinson DM, Teague SJ. Machine learning in mental health: a scoping review of methods and applications. Psychological Medicine 2019;49(09):1426
    CrossRef
  5. López Seguí F, Ander Egg Aguilar R, de Maeztu G, García-Altés A, García Cuyàs F, Walsh S, Sagarra Castro M, Vidal-Alaball J. Teleconsultations between Patients and Healthcare Professionals in Primary Care in Catalonia: The Evaluation of Text Classification Algorithms Using Supervised Machine Learning. International Journal of Environmental Research and Public Health 2020;17(3):1093
    CrossRef
  6. Skaik R, Inkpen D. Using Social Media for Mental Health Surveillance. ACM Computing Surveys 2021;53(6):1
    CrossRef
  7. Le Glaz A, Haralambous Y, Kim-Dufor D, Lenca P, Billot R, Ryan TC, Marsh J, DeVylder J, Walter M, Berrouiguet S, Lemey C. Machine Learning and Natural Language Processing in Mental Health: Systematic Review. Journal of Medical Internet Research 2021;23(5):e15708
    CrossRef
  8. Miller M, Romine W, Oroszi T. Public Discussion of Anthrax on Twitter: Using Machine Learning to Identify Relevant Topics and Events. JMIR Public Health and Surveillance 2021;7(6):e27976
    CrossRef
  9. Ahne A, Khetan V, Tannier X, Rizvi MIH, Czernichow T, Orchard F, Bour C, Fano A, Fagherazzi G. Extraction of Explicit and Implicit Cause-Effect Relationships in Patient-Reported Diabetes-Related Tweets From 2017 to 2021: Deep Learning Approach. JMIR Medical Informatics 2022;10(7):e37201
    CrossRef
  10. Shakeri Hossein Abad Z, Butler GP, Thompson W, Lee J. Physical Activity, Sedentary Behavior, and Sleep on Twitter: Multicountry and Fully Labeled Public Data Set for Digital Public Health Surveillance Research. JMIR Public Health and Surveillance 2022;8(2):e32355
    CrossRef
  11. Lim J, Lee S, Noh J, Lee W, Su P, Yoon Y. Effectiveness of Mental Health Care by Using Machine Learning on Manufacturing Worker. International Journal of Precision Engineering and Manufacturing-Smart Technology 2023;1(2):227
    CrossRef
  12. Brassel S, Brunner M, Campbell A, Power E, Togher L. Exploring Discussions About Virtual Reality on Twitter to Inform Brain Injury Rehabilitation: Content and Network Analysis. Journal of Medical Internet Research 2024;26:e45168
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/publichealth.5939):

  1. Amrani G, Khennou F, Chaoui NEH. Information and Software Technologies. 2020. Chapter 21:255
    CrossRef