On 3 June 2026, Tseko Yordanov successfully defended his PhD on Machine learning in cardiovascular disease: Modelling, prediction, and phenotyping. Congratulations Tseko on earning your PhD!
The thesis examines clinical prediction model development and validation, temporal trend analysis, and data-driven patient phenotyping across two complementary settings: a nationwide hospital registry of transcatheter aortic valve implantation (TAVI) procedures (Netherlands Heart Registration), and the Academic Network of General Practice Amsterdam, North-Holland and Almere.
His work shows that robust validation, regular model updating, and thoughtful integration of diverse health data are essential to realising the potential of ML-driven cardiovascular care.
His thesis can be found at the UvA website: UvA DARE | Machine learning in cardiovascular disease