Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 23.11.11 in Vol 13, No 4 (2011): Oct-Dec

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

Works citing "Using Natural Language Processing to Enable In-depth Analysis of Clinical Messages Posted to an Internet Mailing List: A Feasibility Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1799):

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

  1. Chen W, Kowatch R, Lin S, Splaingard M, Huang Y. Interactive Cohort Identification of Sleep Disorder Patients Using Natural Language Processing and i2b2. Applied Clinical Informatics 2015;06(02):345
    CrossRef
  2. Chen H, Hu Z, Zheng X, Yuan Z, Xu Z, Yuan L, Perez VADJ, Yuan K, Orcholski M, Liao X. Effectiveness of YouTube as a Source of Medical Information on Heart Transplantation. interactive Journal of Medical Research 2013;2(2):e28
    CrossRef
  3. Tang W, Shang Y, Xiao B, Wen P, Lyu R, Ning K. The Cell Research Trends of Asthma: A Stem Frequency Analysis of the Literature. Journal of Healthcare Engineering 2018;2018:1
    CrossRef
  4. Melkers J, Hicks D, Rosenblum S, Isett KR, Elliott J. Dental Blogs, Podcasts, and Associated Social Media: Descriptive Mapping and Analysis. Journal of Medical Internet Research 2017;19(7):e269
    CrossRef
  5. Song M, O’Donnell JA, Bekhuis T, Spallek H. Are dentists interested in the oral-systemic disease connection? A qualitative study of an online community of 450 practitioners. BMC Oral Health 2013;13(1)
    CrossRef
  6. Adams MB, Kaplan B, Sobko HJ, Kuziemsky C, Ravvaz K, Koppel R. Learning from Colleagues about Healthcare IT Implementation and Optimization: Lessons from a Medical Informatics Listserv. Journal of Medical Systems 2015;39(1)
    CrossRef
  7. Leeson W, Resnick A, Alexander D, Rovers J. Natural Language Processing (NLP) in Qualitative Public Health Research: A Proof of Concept Study. International Journal of Qualitative Methods 2019;18:160940691988702
    CrossRef
  8. Oprescu F, Campo S, Lowe J, Andsager J, Morcuende JA. Online Information Exchanges for Parents of Children With a Rare Health Condition: Key Findings From an Online Support Community. Journal of Medical Internet Research 2013;15(1):e16
    CrossRef
  9. Oyebode O, Ndulue C, Adib A, Mulchandani D, Suruliraj B, Orji FA, Chambers CT, Meier S, Orji R. Health, Psychosocial, and Social Issues Emanating From the COVID-19 Pandemic Based on Social Media Comments: Text Mining and Thematic Analysis Approach. JMIR Medical Informatics 2021;9(4):e22734
    CrossRef
  10. Liu X, Zhou Y, Wang Z. Preference access of users' cancer risk perception using disease-specific online medical inquiry texts. Information Processing & Management 2022;59(1):102737
    CrossRef
  11. Oyebode O, Ndulue C, Mulchandani D, Suruliraj B, Adib A, Orji FA, Milios E, Matwin S, Orji R. COVID-19 Pandemic: Identifying Key Issues Using Social Media and Natural Language Processing. Journal of Healthcare Informatics Research 2022;6(2):174
    CrossRef
  12. Roche V, Robert J, Salam H. AI-Based Approach for Safety Signals Detection from Social Networks: Application to the Levothyrox Scandal in 2017 on Doctissimo Forum. SSRN Electronic Journal 2021;
    CrossRef
  13. Xiang M, Zhong D, Han M, Lv K. A Study on Online Health Community Users’ Information Demands Based on the BERT-LDA Model. Healthcare 2023;11(15):2142
    CrossRef
  14. Roche V, Robert J, Salam H. A holistic AI-based approach for pharmacovigilance optimization from patients behavior on social media. Artificial Intelligence in Medicine 2023;144:102638
    CrossRef
  15. Liu X, Zhou Y, Wang Z, Kumar A, Biswas B. Disease Topic Modeling of Users' Inquiry Texts: A Text Mining-Based PQDR-LDA Model for Analyzing the Online Medical Records. IEEE Transactions on Engineering Management 2024;71:6319
    CrossRef