Generating Private Contrastive Explanations with Differentially Private Classifiers and Foil Trees
W.J. Zirkzee (TU Delft - Electrical Engineering, Mathematics and Computer Science)
M.A. Neerincx – Mentor (TU Delft - Interactive Intelligence)
S. Picek – Graduation committee member (TU Delft - Cyber Security)
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Abstract
Due to the rapid growth of diseases like diabetes, machine-learning (ML) advanced clinical decision support systems (CDSS) that support doctors or patients in their care might prove to be a valuable asset. In the battle to make healthcare more accessible, adopting ML techniques could be supportive in increasing the overall
effectiveness and efficiency of healthcare. However, the development of a CDSS is troubled by multiple problems.