https://doi.org/10.3233/SHTI220485

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Document Type

Book Chapter

Subject Area(s)

Studies in Health Technology and Informatics

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.

Digital Object Identifier (DOI)

https://doi.org/10.3233/SHTI220485

APA Citation

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

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