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) Natural Language Processing (636) Ontologies, Classifications, and Coding (223)

Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23104, first published .
Clinical Term Normalization Using Learned Edit Patterns and Subconcept Matching: System Development and Evaluation

Clinical Term Normalization Using Learned Edit Patterns and Subconcept Matching: System Development and Evaluation

Clinical Term Normalization Using Learned Edit Patterns and Subconcept Matching: System Development and Evaluation

Authors of this article:

Rohit J Kate1 Author Orcid Image
Article Authors Cited by (5) Tweetations (3) Metrics

Journals

  1. Xu D, Miller T. A simple neural vector space model for medical concept normalization using concept embeddings. Journal of Biomedical Informatics 2022;130:104080 View
  2. Castell-Díaz J, Miñarro-Giménez J, Martínez-Costa C. Supporting SNOMED CT postcoordination with knowledge graph embeddings. Journal of Biomedical Informatics 2023;139:104297 View
  3. Almeida T, Antunes R, F. Silva J, Almeida J, Matos S. Chemical identification and indexing in PubMed full-text articles using deep learning and heuristics. Database 2022;2022 View
  4. Zanotto B, Beck da Silva Etges A, dal Bosco A, Cortes E, Ruschel R, De Souza A, Andrade C, Viegas F, Canuto S, Luiz W, Ouriques Martins S, Vieira R, Polanczyk C, André Gonçalves M. Stroke Outcome Measurements From Electronic Medical Records: Cross-sectional Study on the Effectiveness of Neural and Nonneural Classifiers. JMIR Medical Informatics 2021;9(11):e29120 View
  5. Zahra F, Kate R. Obtaining clinical term embeddings from SNOMED CT ontology. Journal of Biomedical Informatics 2024;149:104560 View