Oxford University has conducted one of the world’s largest cohort studies, named the China
Kadoorie Biobank, which includes data acquisition from over 500,000 participants in the People’s Republic of China. A subset of data concerning respiratory disease has been acquired, but which is unreliable due to the nature of the measurement device (the spirometer), which is the standard means of determining the lung function of participants. This project seeks to apply methods from statistical machine learning, incorporating knowledge of the mechanical engineering aspects of the measurement device, to (i) produce reliable respiratory data for the China Kadoorie Biobank study and (ii) link this to Chinese environmental pollution data, to which the study has unprecedented access.
Dr David A. Clifton, Institute of Biomedical Engineering and Balliol College, University of Oxford
Yingyan Chen, Engineering Science and Balliol College, University of Oxford
Professor Robert Clarke, Nuffield Department of Population Health, University of Oxford
Professor Zhengming Chen, Nuffield Department of Population Health, University of Oxford
Dr. Yang Yang, Lecturer in Mechanical Engineering, Shanghai Jiaotong University
Contact details for enquiries
Please email the lead investigator, David Clifton, for any queries regarding this project.