Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records

BACKGROUND: Data mining of electronic health records (EHRs) has a huge potential for improving clinical decision support and to help healthcare deliver precision medicine. Unfortunately, the rule-based and machine learning-based approaches used for natural language processing (NLP) in healthcare tod...

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Detalles Bibliográficos
Autores principales: Berge, Geir Thore, Granmo, Ole-Christoffer, Tveit, Tor Oddbjørn, Ruthjersen, Anna Linda, Sharma, Jivitesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507898/
https://www.ncbi.nlm.nih.gov/pubmed/37723446
http://dx.doi.org/10.1186/s12911-023-02271-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507898/
https://www.ncbi.nlm.nih.gov/pubmed/37723446
http://dx.doi.org/10.1186/s12911-023-02271-8

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