Natural language processing algorithms for mapping clinical text fragments onto ontology concepts: a systematic review and recommendations for future studies

BACKGROUND: Free-text descriptions in electronic health records (EHRs) can be of interest for clinical research and care optimization. However, free text cannot be readily interpreted by a computer and, therefore, has limited value. Natural Language Processing (NLP) algorithms can make free text mac...

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Detalles Bibliográficos
Autores principales: Kersloot, Martijn G., van Putten, Florentien J. P., Abu-Hanna, Ameen, Cornet, Ronald, Arts, Derk L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670625/
https://www.ncbi.nlm.nih.gov/pubmed/33198814
http://dx.doi.org/10.1186/s13326-020-00231-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670625/
https://www.ncbi.nlm.nih.gov/pubmed/33198814
http://dx.doi.org/10.1186/s13326-020-00231-z

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