This paper proposed a novel privacy model for Electronic Health Records (EHR) systems
utilizing a conceptual privacy ontology and Machine Learning (ML) methodologies. It …

Background and objectives: Little is known about outcome improvements and disparities in
cardiac arrest and active cancer. We performed the first known AI and propensity score (PS) …

Information sharing across medical institutions is restricted to information exchange between
specific partners. The lifelong electronic health records (EHR) structure and content require …

Semantic Web technologies (especially, ontologies) are very important nowadays in
intelligent applications to represent the important knowledge in an application domain …

People with disabilities represent a large segment of society. They suffer from many
disabilities that prevent them from carrying out normal daily activities, including monitoring …

Most educators agree that essays are the best way to evaluate students' understanding,
guide their studies, and track their growth as learners. Manually grading student essays is a …

Facing the massive amount of risk management data for deep foundation pit excavation
(DFPE) construction, how to store and utilize these data to prevent the occurrence of risk …

The present work describes the development of a conceptual representation model of the
domain of the theory of formal grammars and abstract machines through ontological …

Semantic web technologies (SWTs) are collections of encoded knowledge dedicated to
making possibly large heterogeneous and distributed data or information, seamlessly …

Assisting people to stay independent at home and to decrease hospital costs but also social
isolation for the (elderly) people is getting more attention. The integration of heterogeneous …