Semantic Multi Agent Architecture for Chronic Disease Monitoring and Management

  • Lina NachabeEmail author
  • Bachar El Hassan
  • Jean Taleb
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 29)


Population all over the world is experiencing an epidemic of chronic disease (such as diabetes, heart disease, etc.) which is considered as the leading cause of morbidity and mortality. These diseases are complex and require the intervention and interaction between different stakeholders (doctors, nurses, experts, dietitians). Moreover, patient self-monitoring and management can contribute in the diagnosis and treatment. With the evolution of medical sensors and m-health applications, vital signs monitoring is becoming easier. However, a new approach for chronic disease health care monitoring and management is needed in order to insure intelligence decision making, interoperability between existing systems, and interaction across stakeholders, as well as early diagnosis and self-monitoring. In this paper, we present a semantic multi agent architecture based on predefined ontology and using JADE framework. This architecture encompasses two main agents: contractor and manager in order to offer the adequate data to the requested parties (doctors/patients).


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Lebanse UniversityBeirutLebanon
  2. 2.American University of Culture and EducationBeirutLebanon

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