Evaluating disease similarity using latent Dirichlet allocation
James Frick, Rajarshi Guha, Tyler Peryea, Noel T. Southall
This paper uses latent Dirichlet allocation to measure disease similarity from text, achieving 0.80 ROC AUC compared to curated Disease Ontology relationships.
bioRxiv · Nov 4, 2015 · PreprintBioinformatics