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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Main Authors: | Bilal Tahir, Muhammad Amir Mehmood |
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Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10858732/ |
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