Data-driven method to enhance craniofacial and oral phenotype vocabularies.

ABSTRACT:

Background

A significant amount of clinical information captured as free-text narratives could be better used for several applications, such as clinical decision support, ontology development, evidence-based practice, and research. The Human Phenotype Ontology (HPO) is specifically used for semantic comparisons for diagnostic purposes. All these functions require quality coverage of the domain of interest. The authors used natural language processing to capture craniofacial and oral phenotype signatures from electronic health records and then used these signatures for evaluation of existing oral phenotype ontology coverage.

Methods

The authors applied a text-processing pipeline based on the clinical Text Analysis and Knowledge Extraction System to annotate the clinical notes

SUBMITTER: Mishra R 

PROVIDER: S-EPMC6827714 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature