Using the distance between sets of hierarchical taxonomic clinical concepts to measure patient similarity.

This study provides a systematic benchmark evaluation of previous algorithms and novel algorithms used in taxonomic concepts-based patient similarity, and it provides the basis for selecting appropriate methods under different clinical scenarios.