Published on in Vol 8, No 12 (2020): December
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/22898, first published
.

Journals
- Ayre K, Bittar A, Kam J, Verma S, Howard L, Dutta R, Grabar N. Developing a Natural Language Processing tool to identify perinatal self-harm in electronic healthcare records. PLOS ONE 2021;16(8):e0253809 View
- Abdulnazar A, Roller R, Schulz S, Kreuzthaler M. Unsupervised SapBERT-based bi-encoders for medical concept annotation of clinical narratives with SNOMED CT. DIGITAL HEALTH 2024;10 View
- Nunes M, Bone J, Ferreira J, Elvas L. Health Care Language Models and Their Fine-Tuning for Information Extraction: Scoping Review. JMIR Medical Informatics 2024;12:e60164 View
- Green R, Moonesinghe R, Rim S, Kolor K, Rasooly D, Littrell K, Bowen S, Dotson W, Khoury M. A comparison of family health history of breast cancer, colorectal cancer, and diabetes in self-reported survey and electronic health records data, All of Us Research Program. Genetics in Medicine Open 2025;3:103439 View
- Luo K, Yang W, Chen X, Wang Y, Zhu B, Yang G, He L. Named entity recognition based on fusion of global and local semantic features for Chinese electronic medical records. Discover Artificial Intelligence 2026;6(1) View
Books/Policy Documents
- Rubio-Martín S, Crespo-Álvaro A, García-Ordás M, Serrano-García A, Franch-Pato C, Benítez-Andrades J. Artificial Intelligence in Biomedicine. View
Conference Proceedings
- Rubio-Martín S, Crespo-Álvaro A, García-Ordás M, Serrano-García A, Franch-Pato C, Benítez-Andrades J. 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS). Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes View
