An efficient prototype method to identify and correct misspellings in clinical text

OBJECTIVE: Misspellings in clinical free text present challenges to natural language processing. With an objective to identify misspellings and their corrections, we developed a prototype spelling analysis method that implements Word2Vec, Levenshtein edit distance constraints, a lexical resource, an...

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Detalles Bibliográficos
Autores principales: Workman, T. Elizabeth, Shao, Yijun, Divita, Guy, Zeng-Treitler, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339425/
https://www.ncbi.nlm.nih.gov/pubmed/30658682
http://dx.doi.org/10.1186/s13104-019-4073-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339425/
https://www.ncbi.nlm.nih.gov/pubmed/30658682
http://dx.doi.org/10.1186/s13104-019-4073-y

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