University of Twente Student Theses
Opportunities and possibilities of outcome prediction in patients who will undergo a transcatheter aortic valve procedure : a data-driven approach
Schaft, E.V. (2019) Opportunities and possibilities of outcome prediction in patients who will undergo a transcatheter aortic valve procedure : a data-driven approach.
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| Abstract: | 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. |
| Item Type: | Essay (Master) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 31 mathematics, 44 medicine |
| Programme: | Applied Mathematics MSc (60348) |
| Link to this item: | https://purl.utwente.nl/essays/80167 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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