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Ghasia, Zahra (author)
The use of Electronic Health Records (EHRs) has seen a breakthrough in clinical research for personalized treatments (Hamburg & Collins, 2010.) Despite the potential advantages of vast EHR data available, constraints of privacy and legislation hinder its use (Rieke et al., 2020.) Health data exists in an interconnected healthcare system ...
master thesis 2024
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Somai, Ashay (author)
This thesis looks at how to characterize weaknesses in machine learning models that are used for detecting privacy-sensitive data in images with the help of crowdsourcing. Before we can come up with a method to achieve a goal, we first need to make clear what we consider privacy-sensitive data. We took the General Data Protection Regulation ...
master thesis 2021
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Shriram, Sharad (author)
Modern web information systems use machine learning models to provide personalized user services and experiences. However, machine learning models require annotated data for training, and creating annotated data is done through crowdsourcing tasks. The content used in annotation crowdsourcing tasks like medical records and images might contain...
master thesis 2019