Publications
Research Papers
Exploring COPD patient clusters and associations with health-related quality of life using a machine learning approach: a nationwide cross-sectional study
Engineering
Identify the phenotypes of COPD patients with respect to the socio-characteristics and comorbidities using unsupervised machine learning techniques
Preferences regarding COVID-19 vaccination among 12,000 adults in China: A cross-sectional discrete choice experiment.
PLOS Global Public Health
How the vaccine preference changes with respect to the socio-characteristics using supervised machine learning techniques
The global economic burden of chronic obstructive pulmonary disease for 204 countries and territories in 2020-50: a health-augmented macroeconomic modelling study.
Lancet Glob Health
First to estimate the global economic burden of COPD using a health-augmented macroeconomic modelling approach
Knowledge About COVID-19 Among Adults in China: Cross-sectional Online Survey
Journal of Medical Internet Research
First to explore the knowledge about COVID-19 among adults in China using a cross-sectional online survey