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

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
  4. Ni Ki C, Hosseinian‐Far A, Daneshkhah A, Salari N. Topic modelling in precision medicine with its applications in personalized diabetes management. Expert Systems 2022;39(4) View
  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):215824402211111 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

Books/Policy Documents

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