Author: Alistair Martin; Jama Nateqi; Stefanie Gruarin; Nicolas Munsch; Isselmou Abdarahmane; Bernhard Knapp
Title: An artificial intelligence-based first-line defence against COVID-19: digitally screening citizens for risks via a chatbot Document date: 2020_3_26
ID: 52nw9gxq_27
Snippet: We make use of the World Health Organisation (WHO) COVID-19 symptom list to construct example queries from those infected with COVID-19 10 . The ten most frequent symptoms are combined with both "contact with someone infected with COVID-19" and "visiting/living in a COVID-19 risk area", to give 12 possible symptoms and/or risk factors. All possible combinations of these are then taken as potential COVID-19 cases yielding a total number of 4096 ar.....
Document: We make use of the World Health Organisation (WHO) COVID-19 symptom list to construct example queries from those infected with COVID-19 10 . The ten most frequent symptoms are combined with both "contact with someone infected with COVID-19" and "visiting/living in a COVID-19 risk area", to give 12 possible symptoms and/or risk factors. All possible combinations of these are then taken as potential COVID-19 cases yielding a total number of 4096 artificial cases.
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