This paper is in the following e-collection/theme issue:

Theme Issue 2020:National NLP Clinical Challenges/Open Health Natural Language Processing 2019 Challenge Selected Papers (17) Machine Learning (1693)

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

Authors of this article:

João Figueira Silva1 Author Orcid Image ;   João Rafael Almeida1, 2 Author Orcid Image ;   Sérgio Matos1 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

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