The languages of health in general practice electronic patient records: a Zipf’s law analysis

BACKGROUND: Natural human languages show a power law behaviour in which word frequency (in any large enough corpus) is inversely proportional to word rank - Zipf’s law. We have therefore asked whether similar power law behaviours could be seen in data from electronic patient records. RESULTS: In ord...

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Detalles Bibliográficos
Autores principales: Kalankesh, Leila R, New, John P, Baker, Patricia G, Brass, Andy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3944945/
https://www.ncbi.nlm.nih.gov/pubmed/24410884
http://dx.doi.org/10.1186/2041-1480-5-2

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