Profiling unmet post–acute care needs of an inpatient population in Hong Kong: can real-world data and machine learning algorithms bring precision to tertiary prevention in the community?
Eman Leung(Western University), Albert Lee(Chinese University of Hong Kong), Frank Chen(City University of Hong Kong), Jingjing Guan(Epigenomics (Germany)), Y.-J. LIU(Sun Yat-sen University), Martin C. S. Wong(Chinese University of Hong Kong), Chi Tim Hung(Chinese University of Hong Kong), Hector W. H. Tsang(Hong Kong Polytechnic University), YF Wong(Princess Margaret Hospital), Yinan He(Chinese University of Hong Kong), EK Yeoh(Chinese University of Hong Kong), Yat Chow(Saft (France)), NY Chan(Princess Margaret Hospital), Sam C. C. Ching(Chinese University of Hong Kong), Calvin Law(Sunnybrook Health Science Centre), Sarah Ty Yau(Chinese University of Hong Kong), Olivia Lam(Chinese University of Hong Kong)
Cited by 0
Related Papers
Acceptance of the COVID-19 vaccine based on the health belief model: A population-based survey in Hong Kong
|Vaccine|2021|605
Worldwide Burden, Risk Factors, and Temporal Trends of Ovarian Cancer: A Global Study
|Cancers|2022|303
Updated epidemiology of gastrointestinal cancers in East Asia
|Nature Reviews Gastroenterology & Hepatology|2023|258
The contribution of childhood emotional abuse to teen dating violence among child protective services-involved youth
|Child Abuse & Neglect|2009|255
Characterization of Environmental Sources of the Human and Animal Pathogen <i>Cryptococcus gattii</i> in British Columbia, Canada, and the Pacific Northwest of the United States
|Applied and Environmental Microbiology|2006|238