Building Stable Predictive Models for Healthcare Applications: A Data-Driven Approach

Analysing health related data enable us to transform data into predictive models. These models can be used to accurately make diagnosis or prognosis about states of a patient, which cannot be investigated directly. The scope of this thesis lies within the realm of biomedical informatics, an interdisciplinary field at the crossroads of medicine and computer science.