We spoke to Dr Pastora Gallego (Adult Congenital Heart Disease Unit and UGC Cardiology and Cardiovascular Surgery, Hospital Universitario Virgen del Rocio, Seville, Spain) on risk stratification of sudden cardiac death in adults with congenital heart disease and machine learning methods, her recent study and how we can learn from this to improve the accuracy and use of machine learning methods in practice.
Questions
1. What are the major challenges associated with risk stratification of sudden cardiac death in adults with congenital heart disease? (0:18)
2. Could you give us a brief overview of how machine learning methods can be used to improve risk stratification in this patient population? (1:42)
3. What have we learned from your recent study evaluating machine learning algorithms for risk prediction of sudden cardiac death? (3:00)
4. How can the accuracy of these methods be further improved and what future studies are planned? (4:50)
Speaker disclosures: Dr Pastora Gallego has nothing to declare in relation to this video interview.
Support: Commissioned, edited and funded by Touch Medical Media.
Filmed during a remote video call with Dr Pastora Gallego, September 2020.
