An Ontology for Cardiothoracic Surgical Education and Clinical Data Analytics

Maryam Panahiazar, Yorick Chern, Ramon Riojas, Omar S. Latif, Usha Lokala, Dexter Hadley, Amit Sheth, Ramin E. Beygui

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The development of an ontology facilitates the organization of the variety of concepts used to describe different terms in different resources. The proposed ontology will facilitate the study of cardiothoracic surgical education and data analytics in electronic medical records (EMR) with the standard vocabulary.

Original languageEnglish (US)
Title of host publicationChallenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022
EditorsBrigitte Seroussi, Patrick Weber, Ferdinand Dhombres, Cyril Grouin, Jan-David Liebe, Jan-David Liebe, Jan-David Liebe, Sylvia Pelayo, Andrea Pinna, Bastien Rance, Bastien Rance, Lucia Sacchi, Adrien Ugon, Adrien Ugon, Arriel Benis, Parisis Gallos
PublisherIOS Press BV
Pages407-408
Number of pages2
ISBN (Electronic)9781643682846
DOIs
StatePublished - May 25 2022
Externally publishedYes
Event32nd Medical Informatics Europe Conference, MIE 2022 - Nice, France
Duration: May 27 2022May 30 2022

Publication series

NameStudies in Health Technology and Informatics
Volume294
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference32nd Medical Informatics Europe Conference, MIE 2022
Country/TerritoryFrance
CityNice
Period5/27/225/30/22

Keywords

  • Cardiothoracic Surgery
  • Common Vocabulary
  • Education
  • Ontology

ASJC Scopus subject areas

  • Health Information Management
  • Health Informatics
  • Biomedical Engineering

Fingerprint

Dive into the research topics of 'An Ontology for Cardiothoracic Surgical Education and Clinical Data Analytics'. Together they form a unique fingerprint.

Cite this