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Citing this Article

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Published on 31.08.15 in Vol 17, No 8 (2015): August

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

Works citing "Automatically Detecting Failures in Natural Language Processing Tools for Online Community Text"

Albert Park, Andrea L Hartzler, Jina Huh, David W McDonald, Wanda Pratt

J Med Internet Res 2015 (Aug 31); 17(8):e212 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.4612):

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

  1. Park A, Conway M, Chen AT. Examining thematic similarity, difference, and membership in three online mental health communities from reddit: A text mining and visualization approach. Computers in Human Behavior 2018;78:98
    CrossRef
  2. Chen D, Zhang R, Feng J, Liu K. Fulfilling information needs of patients in online health communities. Health Information & Libraries Journal 2020;37(1):48
    CrossRef
  3. Dirkson , Verberne , Sarker , Kraaij . Data-Driven Lexical Normalization for Medical Social Media. Multimodal Technologies and Interaction 2019;3(3):60
    CrossRef
  4. Hartzler AL, Weis B, Cahill C, Pratt W, Park A, Backonja U, McDonald DW. Design and Usability of Interactive User Profiles for Online Health Communities. ACM Transactions on Computer-Human Interaction 2016;23(3):1
    CrossRef
  5. Zhang S, Bantum EO, Owen J, Bakken S, Elhadad N. Online cancer communities as informatics intervention for social support: conceptualization, characterization, and impact. Journal of the American Medical Informatics Association 2017;24(2):451
    CrossRef
  6. Weissman GE, Ungar LH, Harhay MO, Courtright KR, Halpern SD. Construct validity of six sentiment analysis methods in the text of encounter notes of patients with critical illness. Journal of Biomedical Informatics 2019;89:114
    CrossRef
  7. Park A, Conway M. Harnessing Reddit to Understand the Written-Communication Challenges Experienced by Individuals With Mental Health Disorders: Analysis of Texts From Mental Health Communities. Journal of Medical Internet Research 2018;20(4):e121
    CrossRef
  8. Park A, Conway M. Longitudinal Changes in Psychological States in Online Health Community Members: Understanding the Long-Term Effects of Participating in an Online Depression Community. Journal of Medical Internet Research 2017;19(3):e71
    CrossRef
  9. Sung S, Chen K, Wu DP, Hung L, Su Y, Hu Y. Applying natural language processing techniques to develop a task-specific EMR interface for timely stroke thrombolysis: A feasibility study. International Journal of Medical Informatics 2018;112:149
    CrossRef
  10. Chiaramello E, Pinciroli F, Bonalumi A, Caroli A, Tognola G. Use of “off-the-shelf” information extraction algorithms in clinical informatics: A feasibility study of MetaMap annotation of Italian medical notes. Journal of Biomedical Informatics 2016;63:22
    CrossRef
  11. Guetterman TC, Chang T, DeJonckheere M, Basu T, Scruggs E, Vydiswaran VV. Augmenting Qualitative Text Analysis with Natural Language Processing: Methodological Study. Journal of Medical Internet Research 2018;20(6):e231
    CrossRef
  12. Wang H, Zeng D. Fusing Logical Relationship Information of Text in Neural Network for Text Classification. Mathematical Problems in Engineering 2020;2020:1
    CrossRef
  13. Hartzler AL, Taylor MN, Park A, Griffiths T, Backonja U, McDonald DW, Wahbeh S, Brown C, Pratt W. Leveraging cues from person-generated health data for peer matching in online communities. Journal of the American Medical Informatics Association 2016;23(3):496
    CrossRef
  14. Rudra K, Sharma A, Ganguly N, Imran M. Classifying and Summarizing Information from Microblogs During Epidemics. Information Systems Frontiers 2018;20(5):933
    CrossRef
  15. VanDam C, Kanthawala S, Pratt W, Chai J, Huh J. Detecting clinically related content in online patient posts. Journal of Biomedical Informatics 2017;75:96
    CrossRef
  16. Hegde H, Shimpi N, Glurich I, Acharya A. Tobacco use status from clinical notes using Natural Language Processing and rule based algorithm. Technology and Health Care 2018;26(3):445
    CrossRef
  17. . Tweets Related to Motivation and Physical Activity for Obesity-Related Behavior Change: Descriptive Analysis. Journal of Medical Internet Research 2022;24(7):e15055
    CrossRef
  18. Lauer C, Brumberger E, Beveridge A. Hand Collecting and Coding Versus Data-Driven Methods in Technical and Professional Communication Research. IEEE Transactions on Professional Communication 2018;61(4):389
    CrossRef
  19. . Let’s play videos in literacy practice: From let’s play to let’s learn. E-Learning and Digital Media 2022;19(5):515
    CrossRef
  20. Durieux BN, Zverev SR, Tarbi EC, Kwok A, Sciacca K, Pollak KI, Tulsky JA, Lindvall C. Development of a keyword library for capturing PRO-CTCAE-focused “symptom talk” in oncology conversations. JAMIA Open 2023;6(1)
    CrossRef
  21. Oduru T, Jordan A, Park A. Healthy vs. Unhealthy Food Images: Image Classification of Twitter Images. International Journal of Environmental Research and Public Health 2022;19(2):923
    CrossRef
  22. Shah AM, Lee KY, Hidayat A, Falchook A, Muhammad W. A text analytics approach for mining public discussions in online cancer forum: Analysis of multi-intent lung cancer treatment dataset. International Journal of Medical Informatics 2024;184:105375
    CrossRef