Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27527, first published .
Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study

Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study

Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study

Journals

  1. Kariampuzha W, Alyea G, Qu S, Sanjak J, Mathé E, Sid E, Chatelaine H, Yadaw A, Xu Y, Zhu Q. Precision information extraction for rare disease epidemiology at scale. Journal of Translational Medicine 2023;21(1) View
  2. Lanera C, Baldi I, Francavilla A, Barbieri E, Tramontan L, Scamarcia A, Cantarutti L, Giaquinto C, Gregori D. A Deep Learning Approach to Estimate the Incidence of Infectious Disease Cases for Routinely Collected Ambulatory Records: The Example of Varicella-Zoster. International Journal of Environmental Research and Public Health 2022;19(10):5959 View
  3. Hayes C, Cucciare M, Martin B, Hudson T, Bush K, Lo-Ciganic W, Yu H, Charron E, Gordon A. Using Data Science to Improve Outcomes for Persons with Opioid use Disorder. Substance Abuse 2022;43(1):956 View
  4. Lee Y, Son J, Song M. BertSRC: transformer-based semantic relation classification. BMC Medical Informatics and Decision Making 2022;22(1) View
  5. Zhang Y, Li X, Liu Y, Li A, Yang X, Tang X. A Multilabel Text Classifier of Cancer Literature at the Publication Level: Methods Study of Medical Text Classification. JMIR Medical Informatics 2023;11:e44892 View
  6. Laursen M, Pedersen J, Hansen R, Savarimuthu T, Lynggaard R, Vinholt P. Doctors Identify Hemorrhage Better during Chart Review when Assisted by Artificial Intelligence. Applied Clinical Informatics 2023;14(04):743 View
  7. Zhou W, Yetisgen M, Afshar M, Gao Y, Savova G, Miller T. Improving model transferability for clinical note section classification models using continued pretraining. Journal of the American Medical Informatics Association 2023;31(1):89 View
  8. Feng R, Brennan K, Azizi Z, Goyal J, Deb B, Chang H, Ganesan P, Clopton P, Pedron M, Ruipérez-Campillo S, Desai Y, De Larochellière H, Baykaner T, Perez M, Rodrigo M, Rogers A, Narayan S. Engineering of Generative Artificial Intelligence and Natural Language Processing Models to Accurately Identify Arrhythmia Recurrence. Circulation: Arrhythmia and Electrophysiology 2025;18(1) View
  9. Xu K, Song Y, Ma J. Identifying protected health information by transformers-based deep learning approach in Chinese medical text. Health Informatics Journal 2025;31(1) View
  10. Chen Y, Zhang C, Bai R, Sun T, Ding W, Wang R. A review of medical text analysis: Theory and practice. Information Fusion 2025;119:103024 View

Conference Proceedings

  1. Yuan X. 2022 World Automation Congress (WAC). Research on music information retrieval algorithm based on deep learning View
  2. Zhang T, Liu G. 2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT). RDRS: Represent Document-level Relation with Sentence-level Relation by Distant Supervision View