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In this paper we present an ontology-based clinical decision-support framework for handling comorbidities by alignment of ontology modeled clinical practice guidelines (CPG). Our knowledge management approach to develop clinical decision support systems for co-morbid conditions entails: (a) knowledge synthesis to derive disease-specific clinical pathways (CP) from evidence-bases sources, (b) knowledge...
Effective chronic disease management ensures better treatment and reduces medical costs. Representing knowledge through building an ontology for Electronic Medical Records (EMRs) is important to achieve semantic interoperability among healthcare information systems and to better execute decision support systems. In this paper, an ontology-based EMR focusing on Chronic Disease Management is proposed...
This paper provides a first description of a multiscale systems modeling approach applied to the congenital birth defect known as the tetralogy of Fallot. The multiscale approach adopted owes a lot to the effort of the world-wide physiome consortium and the work of research groups within the European Union on the Virtual Physiological Human. Both a spatial scale and time scale are used to establish...
Multi-agent systems have proven to be a powerful technology for building distributed applications. However, the process of designing, configuring and deploying agent-based applications is still primarily a manual one. There is a need for mechanisms and tools to help automate the many development steps required when building these applications. Using the Semantic Web ontology language OWL and the JADE...
A clinical pathway defines the optimal multidisciplinary care process performed by a team of health care professionals for a particular diagnosis or procedure. Its computerized implementation in the web-based knowledge intensive environment is very important for the delivery of healthcare services with higher quality and efficiency. This paper proposes a framework for semantics-based clinical pathway...
Guideline-based, computer-mediated decision support systems have been demonstrated to improve clinical care and patient outcomes in some diseases. However, the development of such systems tends to take a long cycle time that makes it difficult to put them into a wider scope of application. This paper presents a suite of guideline modeling and execution tools built on top of Protege and Java technology...
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