Studies in Health Technology and Informatics
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.
Digital Object Identifier (DOI)
Published in Challenges of Trustable AI and Added-Value on Health, Volume 294, Summer 2022, pages 407-408.
© 2022 European Federation for Medical Informatics (EFMI) and IOS Press.
This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
Panahiazar, M., Chern, Y., Riojas, R., Latif, O. S., Lokala, U., Hadley, D., Sheth, A., & Beygui, R. E. (2022). An Ontology for Cardiothoracic Surgical Education and Clinical Data Analytics. Challenges of Trustable AI and Added-Value on Health, 407–408. https://doi.org/10.3233/SHTI220485