Article

Using Twitter To Generate Signals For The Enhancement Of Syndromic Surveillance Systems: Semi-Supervised Classification For Relevance Filtering in Syndromic Surveillance

2019-01-03

Abstract excerpt

We investigate the use of Twitter data to deliver signals for syndromic surveillance in order to assess its ability to augment existing syndromic surveillance efforts and give a better understanding of symptomatic people who do not seek health care advice directly. We focus on a specific syndrome - asthma/difficulty breathing. We outline data collection using the Twitter streaming API as well as analysis and pre-p...

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Literature Corpus work: 264756cd-cd31-594d-a7bd-b86a76514310
DOI: 10.1101/511071

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