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#wheezing: A Content Analysis of Asthma-Related Tweets

OBJECTIVE: We present a Content Analysis project using Natural Language Processing to aid in Twitter-based syndromic surveillance of Asthma. INTRODUCTION: Recently, a growing number of studies have made use of Twitter to track the spread of infectious disease. These investigations show that there ar...

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Bibliografische gegevens
Hoofdauteurs: Gillingham, Gwendolyn, Conway, Michael A., Chapman, Wendy W., Casale, Michael B., Pettigrew, Kathryn B.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: University of Illinois at Chicago Library 2013
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3692912/
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