Selected article for: "emergency department and natural language"
Author: Aronis, John M.; Ferraro, Jeffrey P.; Gesteland, Per H.; Tsui, Fuchiang; Ye, Ye; Wagner, Michael M.; Cooper, Gregory F.
Title: A Bayesian approach for detecting a disease that is not being modeled
  • Document date: 2020_2_28
    • ID: 0xbozygd_9
    Snippet: DUDE uses emergency department (ED) reports of patients with an ILI (defined as patients with fever and cough or sore throat) who have definitively tested negative for a set of common viruses. Each report has been processed using natural language processing (NLP) to extract binary features for a set of symptoms relevant to the diagnosis of ILI......
    Document: DUDE uses emergency department (ED) reports of patients with an ILI (defined as patients with fever and cough or sore throat) who have definitively tested negative for a set of common viruses. Each report has been processed using natural language processing (NLP) to extract binary features for a set of symptoms relevant to the diagnosis of ILI.

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