Patrick Doupe
Patrick Doupe
Research Economist, Zalando SE
Verified email at zalando.de
Title
Cited by
Cited by
Year
Machine Learning for Health Services Researchers
P Doupe, J Faghmous, S Basu
Value in Health 22 (7), 808-815, 2019
332019
Equitable development through deep learning: The case of sub-national population density estimation
P Doupe, E Bruzelius, J Faghmous, SG Ruchman
Proceedings of the 7th Annual Symposium on Computing for Development, 6, 2016
162016
Satellite images and machine learning can identify remote communities to facilitate access to health services
E Bruzelius, M Le, A Kenny, J Downey, M Danieletto, A Baum, P Doupe, ...
Journal of the American Medical Informatics Association 26 (8-9), 806-812, 2019
62019
Multiple chronic conditions at a major urban health system: a retrospective cross-sectional analysis of frequencies, costs and comorbidity patterns
UB Majumdar, C Hunt, P Doupe, AJ Baum, DJ Heller, EL Levine, R Kumar, ...
BMJ open 9 (10), e029340, 2019
52019
The costs of error in setting reference rates for reduced deforestation
P Doupe
Land Economics 91 (4), 723-738, 2015
52015
Assessment of Risk of Harm Associated With Intensive Blood Pressure Management Among Patients With Hypertension Who Smoke: A Secondary Analysis of the Systolic Blood Pressure …
J Scarpa, E Bruzelius, P Doupe, M Le, J Faghmous, A Baum
JAMA Network Open 2 (3), e190005-e190005, 2019
42019
Ethnic diversity and village level institutions: evidence from Indonesia under dictatorship and democracy
P Doupe
APSA 2011 Annual Meeting Paper, 2011
42011
Improving Understanding of Flood Risk: the Effects of Lowering the Cost of Accessing Flood Risk Information
P Doupe, L Dobes, F Jotzo
Economics of Disasters and Climate Change, 1-17, 2018
3*2018
Dynamic adjustment and the specification of empirical economic models of deforestation
E Aisbett, P Doupé, L Tacconi
Environment and Development Economics 22 (4), 470-489, 2017
3*2017
Reduced deforestation and economic growth
P Doupe
Centre for Climate Economics and Policy, Crawford School of Public Policy, ANU, 2014
32014
Machine Learning Methods for Precision Medicine Research Designed to Reduce Health Disparities: A Structured Tutorial
S Basu, JH Faghmous, P Doupe
Ethnicity & Disease 30 (Suppl 1), 217-228, 2020
12020
Characterizing Subgroups of High-Need, High-Cost Patients Based on Their Clinical Conditions: a Machine Learning-Based Analysis of Medicaid Claims Data
SV Nuti, P Doupe, B Villanueva, J Scarpa, E Bruzelius, A Baum
Journal of General Internal Medicine, 1-3, 2019
12019
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