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

Scientometrics, Infometrics, and Altmetrics (95) Artificial Intelligence (1407) Clinical Information and Decision Making (1423) Data Science (276) Decision Support for Health Professionals (1201)

Published on in Vol 21, No 11 (2019): November

Modeling Research Topics for Artificial Intelligence Applications in Medicine: Latent Dirichlet Allocation Application Study

Modeling Research Topics for Artificial Intelligence Applications in Medicine: Latent Dirichlet Allocation Application Study

Modeling Research Topics for Artificial Intelligence Applications in Medicine: Latent Dirichlet Allocation Application Study

Authors of this article:

Bach Xuan Tran1, 2 Author Orcid Image ;   Son Nghiem3 Author Orcid Image ;   Oz Sahin4 Author Orcid Image ;   Tuan Manh Vu5 Author Orcid Image ;   Giang Hai Ha6 Author Orcid Image ;   Giang Thu Vu7 Author Orcid Image ;   Hai Quang Pham6 Author Orcid Image ;   Hoa Thi Do8 Author Orcid Image ;   Carl A Latkin2 Author Orcid Image ;   Wilson Tam9 Author Orcid Image ;   Cyrus S H Ho10 Author Orcid Image ;   Roger C M Ho11, 12, 13 Author Orcid Image
Article Authors Cited by (20) Tweetations (8) Metrics

Journals

  1. Braithwaite J, Ludlow K, Testa L, Herkes J, Augustsson H, Lamprell G, McPherson E, Zurynski Y. Built to last? The sustainability of healthcare system improvements, programmes and interventions: a systematic integrative review. BMJ Open 2020;10(6):e036453 View
  2. Zhang Y, Cao B, Wang Y, Peng T, Wang X. When Public Health Research Meets Social Media: Knowledge Mapping From 2000 to 2018. Journal of Medical Internet Research 2020;22(8):e17582 View
  3. He Q, Du F, Simonse L. A Patient Journey Map to Improve the Home Isolation Experience of Persons With Mild COVID-19: Design Research for Service Touchpoints of Artificial Intelligence in eHealth. JMIR Medical Informatics 2021;9(4):e23238 View
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  5. Kovaleski F, Picinin C, Kovaleski J. The Challenges of Technology Transfer in the Industry 4.0 Era Regarding Anthropotechnological Aspects: A Systematic Review. Sage Open 2022;12(3) View
  6. Yan Y, Fan G, Liao X, Zhao X. Research trends and hotspots on connectomes from 2005 to 2021: A bibliometric and latent Dirichlet allocation application study. Frontiers in Neuroscience 2022;16 View
  7. Lareyre F, Lê C, Ballaith A, Adam C, Carrier M, Amrani S, Caradu C, Raffort J. Applications of Artificial Intelligence in Non-cardiac Vascular Diseases: A Bibliographic Analysis. Angiology 2022;73(7):606 View
  8. Gong J, Sihag V, Kong Q, Zhao L. Visualizing Knowledge Evolution Trends and Research Hotspots of Personal Health Data Research: Bibliometric Analysis. JMIR Medical Informatics 2021;9(11):e31142 View
  9. Park J, Choi W, Jung S. Exploring Trends in Environmental, Social, and Governance Themes and Their Sentimental Value Over Time. Frontiers in Psychology 2022;13 View
  10. Arencibia-Jorge R, Vega-Almeida R, Jiménez-Andrade J, Carrillo-Calvet H. Evolutionary stages and multidisciplinary nature of artificial intelligence research. Scientometrics 2022;127(9):5139 View
  11. Ali H, Niazi I, Russell B, Crofts C, Madanian S, White D. Review of Time Domain Electronic Medical Record Taxonomies in the Application of Machine Learning. Electronics 2023;12(3):554 View
  12. Shi J, Wei S, Gao Y, Mei F, Tian J, Zhao Y, Li Z. Global output on artificial intelligence in the field of nursing: A bibliometric analysis and science mapping. Journal of Nursing Scholarship 2023;55(4):853 View
  13. Choi I, Kim J, Kim W. Dietary Pattern Extraction Using Natural Language Processing Techniques. Frontiers in Nutrition 2022;9 View
  14. Gao S. An investigation in to AI applications in Clinical Medicine diagnosis and treatment. Highlights in Science, Engineering and Technology 2023;54:42 View
  15. Shi J, Bendig D, Vollmar H, Rasche P. Mapping the Bibliometrics Landscape of AI in Medicine: Methodological Study. Journal of Medical Internet Research 2023;25:e45815 View
  16. Cho H, Park J, Lee E. Research Trends in Taekwondo Demonstrations from 2004 to 2023 Utilizing Topic Modeling. Korean Journal of Sport Science 2024;35(1):1 View
  17. Mapundu M, Kabudula C, Musenge E, Olago V, Celik T, Mworozi E. Text mining of verbal autopsy narratives to extract mortality causes and most prevalent diseases using natural language processing. PLOS ONE 2024;19(9):e0308452 View
  18. Yasli G, Damar M, Özbiçakci Ş, Alici S, Pinto A. Primary care research on hypertension: A bibliometric analysis using machine-learning. Medicine 2024;103(47):e40482 View

Books/Policy Documents

  1. Elnagar S, Osei-Bryson K. Information Systems. View
  2. Barua R. Approaches to Human-Centered AI in Healthcare. View