This is the third episode of the ACVC Talks on Digital Health
Machine learning deals with computer algorithms that can learn complex patterns from data, without being explicitly programmed.
The adoption of data-intensive machine-learning methods can be found throughout science, including medicine in general and particularly cardiology.
In this field, machine learning has a great potential in harnessing the huge and ever-growing number and complexity of information, such those coming from electronic health records, imaging, ECG, wearables, and sensors.
In this video, we will learn how data-intensive machine learning methods could help doctors to take better, more informed and possibly innovative decisions.
Presented by Maria Chiara Fiorentino, PhD Fellow in Computer Science, Università Politecnica delle Marche, Ancona, Italy.