A Novel Foodborne Illness Detection and Web Application Tool Based on Social Media

A Novel Foodborne Illness Detection and Web Application Tool Based on Social Media

Foodborne diseases and outbreaks are significant threats to public health, resulting in millions of illnesses and deaths worldwide each year. Traditional foodborne disease surveillance systems rely on data from healthcare facilities, laboratories, and government agencies to monitor and control outbr...

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Bibliographic Details
Main Authors: Dandan Tao, Ruofan Hu, Dongyu Zhang, Jasmine Laber, Anne Lapsley, Timothy Kwan, Liam Rathke, Elke Rundensteiner, Hao Feng
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Foods
Subjects:
social media data
text mining
machine learning
bid data
foodborne diseases
Twitter
Online Access:https://www.mdpi.com/2304-8158/12/14/2769

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https://www.mdpi.com/2304-8158/12/14/2769

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