Development and validation of HBV surveillance models using big data and machine learning

Development and validation of HBV surveillance models using big data and machine learning

AbstractBackground The construction of a robust healthcare information system is fundamental to enhancing countries’ capabilities in the surveillance and control of hepatitis B virus (HBV). Making use of China’s rapidly expanding primary healthcare system, this innovative approach using big data and...

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Bibliographic Details
Main Authors: Weinan Dong, Cecilia Clara Da Roza, Dandan Cheng, Dahao Zhang, Yuling Xiang, Wai Kay Seto, William C. W. Wong
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Annals of Medicine
Subjects:
Big data management
big data analytics
infectious disease surveillance
machine learning
China
Online Access:https://www.tandfonline.com/doi/10.1080/07853890.2024.2314237

Internet

https://www.tandfonline.com/doi/10.1080/07853890.2024.2314237

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