Annals of Medicine
Volume 56, 2024 - Issue 1
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Infectious Diseases
Development and validation of HBV surveillance models using big data and machine learning
Weinan Donga Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Chinahttps://orcid.org/0000-0002-3541-1649
, Cecilia Clara Da Rozaa Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, ChinaCorrespondence[email protected]
https://orcid.org/0009-0005-8900-8790
, https://orcid.org/0009-0005-8900-8790
Dandan Chengb Department of Family Medicine and Primary Care, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, Chinahttps://orcid.org/0009-0001-4247-9545
, Dahao Zhangb Department of Family Medicine and Primary Care, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, Chinahttps://orcid.org/0009-0000-5572-8902
, Yuling Xiangb Department of Family Medicine and Primary Care, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, Chinahttps://orcid.org/0009-0001-9462-0723
, Wai Kay Setoc Department of Medicine and State Key Laboratory of Liver Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China;d Department of Medicine, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, Chinahttps://orcid.org/0000-0002-9012-313X
& William C. W. Wonga Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China;b Department of Family Medicine and Primary Care, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, Chinahttps://orcid.org/0000-0003-2540-4055
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Article: 2314237
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Received 25 Sep 2023, Accepted 30 Jan 2024, Published online: 10 Feb 2024
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