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A Visualization of Evolving Clinical Sentiment Using Vector Representations of Clinical Notes

Our objective in this paper was to visualize the evolution of clinical language and sentiment with respect to several common population-level categories including: time in the hospital, age, mortality, gender and race. Our analysis utilized seven years of unstructured free text notes from the Multip...

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Detalhes bibliográficos
Publicado no:Comput Cardiol (2010)
Main Authors: Ghassemi, Mohammad M., Mark, Roger G., Nemati, Shamim
Formato: Artigo
Idioma:Inglês
Publicado em: 2016
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5070922/
https://ncbi.nlm.nih.gov/pubmed/27774487
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/CIC.2015.7410989
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