TepiSense: A Social Computing-Based Real-Time Epidemic Surveillance System Using Artificial Intelligence

TepiSense: A Social Computing-Based Real-Time Epidemic Surveillance System Using Artificial Intelligence

Artificial Intelligence (AI) technologies have enabled researchers to develop tools to monitor real-world events and user behavior using social media platforms. Twitter is particularly useful for gathering invaluable information related to diseases and public health to build real-time disease survei...

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Bibliographic Details
Main Authors: Bilal Tahir, Muhammad Amir Mehmood
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Natural language processing
epidemic intelligence
public health
data mining
smart city
e-health
Online Access:https://ieeexplore.ieee.org/document/10858732/
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