Summary:
The goal of the cardiovascular text mining team is to use the lab’s SemNet technology to identify relationships that could better predict the impact of favorable stem cell precursors for patients with cardiovascular disease or congenital heart disease. So far, we have run exploratory simulations in order to learn more about how cardiovascular disease is connected in the SemNet knowledge graph. Here, a knowledge graph can be understood as a collection of ideas, or ‘nodes’, and lines, or ‘edges’, connecting those nodes. Below is a pruned example of the knowledge graph centered around cardiovascular disease.
We have also visualized these results with a novel 3D graph visualizer. In the future, we hope to develop novel network clustering algorithms, much like social network friend recommendation systems, to draw boundaries around different islands in the knowledge graph.
Team Leader:
Kevin McCoy
