For the first time, Cambridge Hospital has begun using a machine learning algorithm to predict the oxygen needs of COVID-19 patients through a Federated Learning model.
What does Federated Learning, or federated learning, mean?
Federated Learning is a type of Artificial Intelligence algorithm in which a central server processes the results obtained from several other servers, or “nodes”, based on the same dataset. The main advantage of this methodology is that it allows researchers to work in parallel with data coming from different locations.
The algorithm produced by the researchers at Cambridge (and others) has been named EXAM and required only two weeks of “training” to obtain high-quality predictions.
In this case, machine learning will be able to provide medical logistics with the necessary information to allocate the required resources in advance more efficiently — and thus save numerous human lives.
For more information: World first for AI and machine learning to treat COVID-19 patients worldwide