Research graph
References from Flexibility of a large blindly synthetized avatar database for occupational research: Example from the CONSTANCES cohort for stroke and knee pain. Local targets link to admitted publications; unresolved targets remain external evidence.
Big Data and Population Health: Focusing on the Health Impacts of the Social, Physical, and Economic Environment
10.1097/ede.0000000000000711 · 2017 · External reference
Toward the development of a big data analytics capabilityInformation &
2016 · External reference
The Association Between Income and Life Expectancy in the United States, 2001–2014
10.1001/jama.2016.4226 · 2016 · External reference
Use of the Medicare database in epidemiologic and health services research: a valuable source of real-world evidence on the older and disabled populations in the US
10.2147/clep.s105613 · 2017 · External reference
An Interpretable Algorithm on Post-injury Health Service Utilization Patterns to Predict Injury Outcomes
10.1007/s10926-019-09863-0 · 2020 · External reference
Machine Learning for Work Disability Prevention: Introduction to the Special Series
10.1007/s10926-020-09910-1 · 2020 · External reference
Smart Work Injury Management (SWIM) System: Artificial Intelligence in Work Disability Management
10.1007/s10926-020-09886-y · 2020 · External reference
Comparison of Machine Learning Methods in the Study of Cancer Survivors’ Return to Work: An Example of Breast Cancer Survivors with Work-Related Factors in the CONSTANCES Cohort
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Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints
10.1186/1471-2288-14-137 · 2014 · External reference
Big data and black-box medical algorithms
2018 · External reference
Estimating the success of re-identifications in incomplete datasets using generative models
10.1038/s41467-019-10933-3 · 2019 · External reference
Is deidentification sufficient to protect health privacy in research?
10.1080/15265161.2010.494215 · 2010 · External reference
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Seven Ways to Evaluate the Utility of Synthetic Data
10.1109/msec.2020.2992821 · 2020 · External reference
Evaluating Identity Disclosure Risk in Fully Synthetic Health Data: Model Development and Validation
10.2196/23139 · 2020 · External reference
General and specific utility measures for synthetic data
10.1111/rssa.12358 · 2018 · External reference
Patient-centric synthetic data generation, no reason to risk re-identification in biomedical data analysis
10.1038/s41746-023-00771-5 · 2023 · External reference
CONSTANCES: a general prospective population-based cohort for occupational and environmental epidemiology: cohort profile
10.1136/oemed-2016-103678 · 2017 · External reference
Comparison Between a Job-Exposure Matrix (JEM) Score and Self-Reported Exposures for Carrying Heavy Loads Over the Working Lifetime in the CONSTANCES Cohort
10.1093/annweh/wxaa015 · 2020 · External reference
Association Between Reported Long Working Hours and History of Stroke in the CONSTANCES Cohort
10.1161/strokeaha.119.025454 · 2019 · External reference
Ransomware in Healthcare Facilities: A Harbinger of the Future?
2018 · External reference
Can synthetic data be a proxy for real clinical trial data? A validation study
10.1136/bmjopen-2020-043497 · 2021 · External reference
