Project: International Comparison of Quality of CKD care
Research Institute
KECC (Kidney Epidemiology and Cost Center) University of Michigan
Nephrology, Department of Internal Medicine, University of Michigan
Project: International Comparison of Quality of CKD care
Department of Epidemiology, University of Michigan
Project: International Comparison of Quality of CKD care
Faculty of Data Science Shiga University
Project: NCD Prevention, Healthy Aging Project
Visual Design Department
Graduate School of Arts / Faculty of Fine Arts
Kyoto City University of Arts
Project: healthy community design
Institute of Epidemiology and Preventive Medicine, National Taiwan University
Project: International Comparison of Quality of CKD care
Health Insurance Association For Architecture and Engineering Companies
Project: NCD Prevention
Japan Senior Citizens Welfare Organization
Project: Healthy Aging Project
SOMPO HEALTH SUPPORT
Project: NCD Prevention
Researcher
Rajiv Saran
Professor of Internal Medicine and Epidemiology, University of Michigan.
Director, United States Renal Data System.
Edward C. Norton
Professor of Departments of Health Management and Policy and Department of Economics,
University of Michigan
Prof. Edward C. Norton is a health economist with more than 25 years of research experience studying a wide variety of topics in health economics and applied econometrics.
He applies economic theory and rigorous econometric methods to address current policy issues.
Wu Hon-Yen
Assistant Professor
Institute of Epidemiology and Preventive Medicine
National Taiwan University College of Public Health
My core research area is the outcome study and quality of care in patients of chronic kidney disease, using big data analysis, advanced epidemiological designs, and meta-analytical methods.
Akihisa Tatsumi
Professor Visual Design Department
Graduate School of Arts / Faculty of Fine Arts
Kyoto City University of Arts
Utilizing the method of communication design, we are conducting collaborative research to deepen mutual understanding between healthcare and society.
Links :
Healthy Community Project in Kyoto
Healthy Aging Project at nursing homes
Shizue Izumi
Professor, Faculty of Data Science
Shiga University, Japan
Collaboration on developing statistical methods to analyze longitudinally measured health data.
Shohei Shimizu
Professor, Faculty of Data Science, Shiga University
Team Leader, RIKEN AIP Center
We are conducting collaborative research to AI-based causal inference approach which is one of machine learning techniques.
Wataru Kurebayashi
Assistant Professor, Faculty of Data Science Education & Research Center, Shiga University