Evolving an Intelligent Framework for Decision- Making Process in e-Health Systems
Abstract: This paper presents improvements of LARIISA, a framework that makes use of context-aware information to support decision-making and governance in the public health area. More specifically, two relevant e-health applications are presented to illustrate the LARIISA system. The first one uses Bayesian networks in dengue scenarios. The second application uses ontology to manage home care scenarios. In both cases, the contributions related to the LARIISA framework include patient health diagnosis provided remotely, support for decision-making health systems, and context information for context-aware health systems.