An architecture for the semantic enhancement of clinical decision support systems

Authors:
Eider Sanchez;Carlos Toro;Eduardo Carrasco;Gloria Bueno;Carlos Parra;Patricia Bonachela;Manuel Graña;Frank Guijarro
Affiliations:
Vicomtech-IK4 Research Centre, San Sebastian, Spain;Vicomtech-IK4 Research Centre, San Sebastian, Spain;Vicomtech-IK4 Research Centre, San Sebastian, Spain;University of Castilla-La Mancha, VISILAB group, ETSII, Spain;University Hospital Virgen del Rocío, UCAi group, Spain;University Hospital Virgen del Rocío, UCAi group, Spain;University of the Basque Country, Computational Intelligence Group, Spain;Bilbomatica, Spain
Venue:
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
Year:
2011

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Abstract

Clinical Decision Support Systems (CDSS) are useful tools that aid physicians during different tasks such as diagnosis, treatment and patient monitoring. Multidisciplinary, heterogeneous and disperse clinical information and decision criteria have to be handled by CDSSs. For such tasks, Knowledge Engineering (KE) techniques and semantic technologies are very suitable, as they support (i) the integration of heterogeneous knowledge, (ii) the expression of rich and well-defined models for knowledge aggregation, and (iii) the application of logic reasoning for the generation of new knowledge. In this paper we propose a generic architecture of a CDSS based on semantic technologies, which also considers the reutilization and enhancement of former CDSS in an organization. Particularly, an implementation of the proposed architecture is also presented, aiming to support the early diagnosis of AD.