From Patient Discharge Summaries to an Ontology for Psychiatry

Stud Health Technol Inform. 2017:245:930-934.

Abstract

Psychiatry aims at detecting symptoms, providing diagnoses and treating mental disorders. We developed ONTOPSYCHIA, an ontology for psychiatry in three modules: social and environmental factors of mental disorders, mental disorders, and treatments. The use of ONTOPSYCHIA, associated with dedicated tools, will facilitate semantic research in Patient Discharge Summaries (PDS). To develop the first module of the ontology we propose a PDS text analysis in order to explicit psychiatry concepts. We decided to set aside classifications during the construction of the modu le, to focus only on the information contained in PDS (bottom-up approach) and to return to domain classifications solely for the enrichment phase (top-down approach). Then, we focused our work on the development of the LOVMI methodology (Les Ontologies Validées par Méthode Interactive - Ontologies Validated by Interactive Method), which aims to provide a methodological framework to validate the structure and the semantic of an ontology.

Keywords: Ontology; Psychiatry; Social Factors.

MeSH terms

  • Biological Ontologies*
  • Humans
  • Mental Disorders
  • Patient Discharge Summaries*
  • Psychiatry*
  • Semantics