Published on in Vol 4, No 2 (2018): Apr-Jun

Trends in HIV Terminology: Text Mining and Data Visualization Assessment of International AIDS Conference Abstracts Over 25 Years

Trends in HIV Terminology: Text Mining and Data Visualization Assessment of International AIDS Conference Abstracts Over 25 Years

Trends in HIV Terminology: Text Mining and Data Visualization Assessment of International AIDS Conference Abstracts Over 25 Years

Journals

  1. Newton L, Necochea R, Palm D, Taylor J, Barr L, Patel H, Nathan A, Gerrard J, Sylla L, Brown B, Dubé K. Revisiting the ‘sterilising cure’ terminology: a call for more patient-centred perspectives on HIV cure-related research. Journal of Virus Eradication 2019;5(2):122 View
  2. Khakimova A, Yang X, Zolotarev O, Berberova M, Charnine M. Tracking Knowledge Evolution Based on the Terminology Dynamics in 4P-Medicine. International Journal of Environmental Research and Public Health 2020;17(20):7444 View
  3. Danesh F, Dastani M, Ghorbani M. Retrospective and prospective approaches of coronavirus publications in the last half-century: a Latent Dirichlet allocation analysis. Library Hi Tech 2021;39(3):855 View
  4. Li Z, Qiao S, Jiang Y, Li X. Building a social media-based HIV risk behavior index to inform the prediction of HIV new diagnosis: a feasibility study. AIDS 2021;35(Supplement 1):S91 View
  5. Dastani M, Mousavi chelak A, Ziaei S, Delghandi F. Topic Analysis of Published Articles in Medical librarianship and Information Science in Iran Using Text Mining Techniques. Depiction of Health 2020;11(4):355 View
  6. Arai T, Saito K, Hirai Y. Actual State of COVID-19 Strategy Meetings. Discourse and Communication for Sustainable Education 2021;12(2):96 View
  7. Jackson R, Heath B, Hartman P, Kumar S. Philosophical Sediments. International Journal of Responsible Leadership and Ethical Decision-Making 2021;3(1):50 View
  8. Lomotey R, Kumi S, Hilton M, Orji R, Deters R. Using Machine Learning to Establish the Concerns of Persons With HIV/AIDS During the COVID-19 Pandemic From Their Tweets. IEEE Access 2023;11:37570 View
  9. Parisi C, Varas-Rodriguez E, Algarin A, Richards V, Li W, Cruz Carrillo L, Ibañez G. A Content Analysis of HIV-Related Stigmatizing Language in the Scientific Literature, From 2010-2020: Findings and Recommendations for Editorial Policy. Health Communication 2024;39(6):1209 View
  10. Gladysz B, Tran T, Romero D, van Erp T, Abonyi J, Ruppert T. Current development on the Operator 4.0 and transition towards the Operator 5.0: A systematic literature review in light of Industry 5.0. Journal of Manufacturing Systems 2023;70:160 View
  11. Kim G, Kim L, Baek S, Shim M, Lee S, Kim J, Yoon J, Kim J, Choi J, Choi J. Three cycles of mobile app design to improve HIV self-management: A development and evaluation study. DIGITAL HEALTH 2024;10 View

Books/Policy Documents

  1. Rheindorf M. Revisiting the Toolbox of Discourse Studies. View