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

ABSTRACT:

Background

Many clinical concepts are standardized under a categorical and hierarchical taxonomy such as ICD-10, ATC, etc. These taxonomic clinical concepts provide insight into semantic meaning and similarity among clinical concepts and have been applied to patient similarity measures. However, the effects of diverse set sizes of taxonomic clinical concepts contributing to similarity at the patient level have not been well studied.

Methods

In this paper the most widely used taxonomic clinical concepts system, ICD-10, was studied as a representative taxonomy. The distance between ICD-10-coded diagnosis sets is an integrated estimation of the information content of each concept, the similarity between each pairwise concepts and the similarity between the sets of concepts. We

SUBMITTER: Jia Z 

PROVIDER: S-EPMC6485152 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature