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 .
Extraction of Family History Information From Clinical Notes: Deep Learning and Heuristics Approach

Extraction of Family History Information From Clinical Notes: Deep Learning and Heuristics Approach

Extraction of Family History Information From Clinical Notes: Deep Learning and Heuristics Approach

Journals

  1. 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
  2. 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
  3. 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
  4. 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

Conference Proceedings

  1. 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