EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 81 (2026) ITM Web Conf., 81 (2026) 01029 References
Open Access
Issue
ITM Web Conf.
Volume 81, 2026
International Conference on Emerging Technologies for Multidisciplinary Innovation and Sustainability (ETMIS 2025)
Article Number 01029
Number of page(s) 13
DOI https://doi.org/10.1051/itmconf/20268101029
Published online 23 January 2026
  1. Y. Zhang, X. Wang, and J. Li, "BioMedBERT: Pretraining and applying BERT models for biomedical text mining," in Proc. IEEE/ACM Int. Conf. on Bioinformatics and Computational Biology (BICOB), 2021. [Google Scholar]
  2. S. S. Reddy and T. S. Suresh, "Trustworthy AI in medical diagnosis: Challenges and solutions," IEEE Access, 9, 12345–12362 (2021). [Google Scholar]
  3. A. Gupta, R. Kumar, and P. Sinha, "Deep learning for electronic health records: An IEEE perspective," IEEE J. Biomed. Health Inform., 25(8), 2345–2359 (2021). [Google Scholar]
  4. L. Breiman, "Random forests," Machine Learning, 45(1), 5–32 (2001). [NASA ADS] [CrossRef] [Google Scholar]
  5. J. Lee, H. Park, and K. Choi, "Data-driven prediction of drug interactions using deep neural networks," IEEE/ACM Trans. Comput. Biol. Bioinform., 18(4), 1285–1297 (2021). [Google Scholar]
  6. S. Hochreiter and J. Schmidhuber, "Long short-term memory," Neural Comput., 9(8), 1735–1780 (1997). [CrossRef] [Google Scholar]
  7. R. Kumar and P. Das, "Hybrid extractive-abstractive summarization of scientific documents using transformer networks," in Proc. IEEE Int. Conf. on Big Data (BigData), 2022, pp. 456-463. [Google Scholar]
  8. E. Alsentzer, J. Murphy, W. Boag, W. Weng, T. Naumann and M. McDermott, "Publicly available clinical BERT embeddings," arXiv preprint arXiv:1904.03323v3, 2019. [Google Scholar]
  9. O. Bodenreider, "The Unified Medical Language System (UMLS): Integrating biomedical terminology," Nucleic Acids Res., 32, 267–270 (2004). [Google Scholar]
  10. J. Smith, A. Kumar and L. Zhao, "PANDORA: Automated clinical information extraction and risk scoring via deep learning," in Proc. IEEE Int. Conf. on Healthcare Informatics (ICHI), 2023, pp. 112-119. [Google Scholar]
  11. M. Nishio, Y. Kurata, T. Matsunaga, K. Fujimoto, H. Matsuo, O. Sugiyama and T. Murakami, "Automatic summarization of radiology reports using transformer-based models," in Proc. IEEE Int. Symp. on Biomedical Imaging (ISBI), 2023, pp. 789-796. [Google Scholar]
  12. S. A. Alowais and A. Menodzi, "Revolutionizing healthcare: the role of artificial intelligence in modern medicine," BMC Med. Educ., 23, 4698 (2023). [Google Scholar]
  13. X. Lin, L. Dai, Y. Zhou, Z.-G. Yu, W. Zhang, J.-Y. Shi, D.-S. Cao, L. Zeng, H. Chen and B. Song, "Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction," arXiv:2306.05257 (2023). [Google Scholar]
  14. Q. Hu, Y. Yang and Z. Zhao, "Machine learning to predict adverse drug events based on electronic health records: a systematic review," J. Clin. Med., 13(4), 390 (2024). [Google Scholar]
  15. L. Swinckels, J. L. Pereira, A. Sousa and T. Silva, "The use of deep learning and machine learning on longitudinal EHR data to support disease prediction: a scoping review," J. Med. Internet Res., 26, e48320 (2024). [Google Scholar]
  16. F. Mohsen, H. Ali, N. El Hajj and Z. Shah, "Artificial Intelligence-Based Methods for Fusion of Electronic Health Records and Imaging Data: A Scoping Review," arXiv:2210.13462 (2022). [Google Scholar]
  17. S. Nerella, S. Bandyopadhyay, J. Zhang, M. Contreras, S. Siegel, A. Bumin, B. Silva, J. Sena, B. Shickel, A. Bihorac and K. Khezeli, "Transformers in Healthcare: A Survey," arXiv:2307.00067 (2023). [Google Scholar]
  18. C. Chakraborty, R. Kumar and A. Sen, "From machine learning to deep learning: Advances of AI-based technologies in healthcare and medical diagnostics," Comput. Biol. Med., 170, 105628 (2024). [Google Scholar]
  19. W. Huang, H. Li, M. Singh and T. Li, "Advancing drug-drug interactions research: integrating AI, multi-omics data, and digital health systems," Front. Pharmacol., 16, 1618701 (2025). [Google Scholar]
  20. I. Ioakeim-Skoufa, D. Vougas, P. Bousounis and A. Athanasiou, "Electronic Health Records: A Gateway to AI-Driven Real-World Health Data Analytics in Multimorbidity Populations," J. Clin. Med., 14(10), 3434 (2025). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.