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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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Bibliografische gegevens
Hoofdauteurs: Kalankesh, Leila R, New, John P, Baker, Patricia G, Brass, Andy
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: BioMed Central 2014
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3944945/
https://ncbi.nlm.nih.gov/pubmed/24410884
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/2041-1480-5-2
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