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Electronic Health Record and Semantic Issues Using Fast Healthcare Interoperability Resources: Systematic Mapping Review

Electronic Health Record and Semantic Issues Using Fast Healthcare Interoperability Resources: Systematic Mapping Review

We performed the same exercise for RDF or OWL followed by annotation. Table 7 shows that most combined semantic approaches are annotation and ML and NLP, mapping and terminology services, mapping and annotation, RDF or OWL, and ontology. Distribution of the combined approaches a RDF: resource description framework. b OWL: web ontology language. c ML: machine learning. d NLP: natural language processing. e Not applicable.

Fouzia Amar, Alain April, Alain Abran

J Med Internet Res 2024;26:e45209

Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study

Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study

RDF is a general metadata or data model that defines concepts and web-resources based on a variety of syntax notations and data serialization formats [29]. Inherited from the classical conceptual modeling approaches, RDF utilizes the expressions to form triples, subject-predicate-object, to model data elements (eg, web resources). Specifically, in this study, the subject denotes the clinical data elements (eg, patients), and the predicate denotes a relationship between 2 data elements.

Nansu Zong, Victoria Ngo, Daniel J Stone, Andrew Wen, Yiqing Zhao, Yue Yu, Sijia Liu, Ming Huang, Chen Wang, Guoqian Jiang

JMIR Med Inform 2021;9(5):e23586