Federated learning in the healthcare setting
In the spotlight with a visual summary and interview: the research of Sebastian van der Voort, researcher on Quality of care (IT systems), Methods in Medical Informatics and Reusable Health Data.
In healthcare, many data scientists, clinicians and researchers are using machine learning techniques to develop prediction models. However, developing a model with data from multiple institutes comes with many privacy and security issues. This limits the available data and delays the development process. Sebastian van der Voort conducts research on federated learning - a solution to this problem. Federated learnings is a new way to train machine learning models without having to exchange sensitive patient data.
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