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

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

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

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

Journals

  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 View
  2. Chen H, Hu Z, Zheng X, Yuan Z, Xu Z, Yuan L, Perez V, 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 View
  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 View
  4. Melkers J, Hicks D, Rosenblum S, Isett K, Elliott J. Dental Blogs, Podcasts, and Associated Social Media: Descriptive Mapping and Analysis. Journal of Medical Internet Research 2017;19(7):e269 View
  5. Song M, O’Donnell J, 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) View
  6. Adams M, Kaplan B, Sobko H, 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) View
  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 View
  8. Oprescu F, Campo S, Lowe J, Andsager J, Morcuende J. 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 View
  9. Oyebode O, Ndulue C, Adib A, Mulchandani D, Suruliraj B, Orji F, Chambers C, 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 View
  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 View
  11. Oyebode O, Ndulue C, Mulchandani D, Suruliraj B, Adib A, Orji F, 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 View
  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 View
  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 View
  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 View
  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 View