Add to Favourites
To login click here
This article discusses the use of graph learning algorithms in the medical field. It explains how graph databases can be used to store and query big data, and how they are ideal for handling interconnected and heterogeneous data, such as clinical data. It also provides an example of how a graph containing patients and symptoms can be used to distinguish between the two types of nodes.
