Open AI in health
Making AI research reproducible and open
Heidi Seibold's group combines open science, AI and health research. It focuses on reproducible and open research, as well as on machine learning methods for personalized medicine that improve patient treatment. How can AI be used for health research in a safe and trustworthy way? What can AI researchers learn from health research?
Seibold's group promotes open and reproducible science and sees R and Git as some of the most powerful tools for computational reproducibility in statistics and machine learning.
- Supervised learning
- Model-based trees and random forests for personalized medicine
- Democratizing artificial intelligence and machine learning: access, support, trust and reusability
Data protection note