Toward a knowledge graph for medical diagnosis: issues and usage scenarios

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dc.contributor.authorDe Nicola, Antonio
dc.contributor.authorZgheib, Rita
dc.contributor.authorTaglino, Francesco
dc.date.accessioned2023-09-12T11:49:41Z
dc.date.available2023-09-12T11:49:41Z
dc.date.issued2022-01-01
dc.identifier.citationDe Nicola, A., Zgheib, R., & Taglino, F. (2022). Toward a knowledge graph for medical diagnosis: issues and usage scenarios. In Semantic Models in IoT and Ehealth Applications (pp. 129-142). Academic Press. https://doi.org/10.1016/B978-0-32-391773-5.00013-3
dc.identifier.isbn978-032391773-5, 978-032397226-0
dc.identifier.urihttps://doi.org/10.1016/B978-0-32-391773-5.00013-3
dc.identifier.urihttps://hdl.handle.net/20.500.12519/822
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofseriesSemantic Models in IoT and eHealth Applications
dc.rights.holderCopyright : © 2022 Elsevier Inc. All rights reserved.
dc.subjectHealthcare
dc.subjectKnowledge graph
dc.subjectMedical diagnosis
dc.subjectOntology
dc.titleToward a knowledge graph for medical diagnosis: issues and usage scenarios
dc.typeBook chapter

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