Opportunities and possibilities of outcome prediction in patients who will undergo a transcatheter aortic valve procedure : a data-driven approach

Patients with an aortic stenosis who have a high risk for undergoing surgery, can get a transcatheter aortic valve implantation (TAVI). In this project machine learning techniques are used to evaluate what the opportunities and possibilities are to predict the outcome of patients who will undergo a TAVI. It is shown that electrocardiography and convolutional neural networks are able to predict the improvement of shortness of breath after a TAVI. Also, the steps to implement a data-driven model in the daily clinical practice are elaborated.