Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56932, first published .
Enhancing Clinical Relevance of Pretrained Language Models Through Integration of External Knowledge: Case Study on Cardiovascular Diagnosis From Electronic Health Records

Enhancing Clinical Relevance of Pretrained Language Models Through Integration of External Knowledge: Case Study on Cardiovascular Diagnosis From Electronic Health Records

Enhancing Clinical Relevance of Pretrained Language Models Through Integration of External Knowledge: Case Study on Cardiovascular Diagnosis From Electronic Health Records

Journals

  1. Durán-Silva N, Carrillo-de-Albornoz J, Plaza L, Ricardo S, Massucci F, Veiga S, Ramos-Prats A. BATRACIO: BAsic, TRAnslational, Clinical, Research Phase Identification in BiOmedical Publications. IEEE Access 2024;12:146476 View
  2. Su C, Miao K, Zhang L, Yu X, Guo Z, Li D, Xu M, Zhang Q, Dong X. Multimodal Deep Learning Based on Ultrasound Images and Clinical Data for Better Ovarian Cancer Diagnosis. Journal of Imaging Informatics in Medicine 2025 View