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Sanchez E.,Vicomtech 4 Research Center | Sanchez E.,Biodonostia Health Research Institute | Toro C.,Vicomtech 4 Research Center | Artetxe A.,Vicomtech 4 Research Center | And 5 more authors.
Frontiers in Artificial Intelligence and Applications | Year: 2012

Clinical Decision Support Systems (CDSS) are computer applications that focus on assisting medical decisions required during clinical tasks. Although CDSS have been extensively studied for more than 30 years, their use is not broadly extended yet in daily clinical practice. Identified challenges of CDSS include (i) automating decision support, (ii) clinical workflow integration, (iii) ability of the system to be maintained and extended, (iv) timely advice and (v) evaluation of decisions effects and costs. In this paper, we hypothesize that Knowledge Engineering techniques and semantic technologies could be applied to CDSS in order to overcome the current identified challenges. We present a generic architecture for a Semantic CDSS, which we call SCDSS, and implementation guidelines for the breast cancer domain. Our approach follows a cyclic-federated paradigm allowing the reutilization of knowledge gathered at every stage of the clinical cycle. © 2012 The authors and IOS Press. All rights reserved.

Toro C.,Vicomtech IK4 | Sanchez E.,Vicomtech IK4 | Carrasco E.,Vicomtech IK4 | Mancilla-Amaya L.,University of Newcastle | And 7 more authors.
Cybernetics and Systems | Year: 2012

In this article we present an experience-based clinical decision support system (CDSS) for the diagnosis of Alzheimer's disease, which enables the discovery of new knowledge in the system and the generation of new rules that drive reasoning. In order to evolve an initial set of production rules given by medical experts we make use of the Set of Experience Knowledge Structure (SOEKS). An illustrative case of our system is also presented. Copyright © 2012 Taylor & Francis Group, LLC.

Sanchez E.,Vicomtech 4 Research Center | Toro C.,Vicomtech 4 Research Center | Carrasco E.,Vicomtech 4 Research Center | Bueno G.,University of Castilla - La Mancha | And 4 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2011

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. © 2011 Springer-Verlag.

Mesa I.,Centro de estudios e investigaciones tecnicas de Gipuzkoa | Sanchez E.,Vicomtech IK4 | Sanchez E.,Biodonostia Health Research Institute | Sanchez E.,University of the Basque Country | And 15 more authors.
Cybernetics and Systems | Year: 2014

In this article we present the design and implementation of a mobile cardiac monitoring system oriented to patients in Phase II and III of cardiac rehabilitation. The complete monitoring system involves both hardware and software design perspectives. At the hardware level, we present a T-shirt with a 12-lead ECG system and an embedded inertial sensor for the monitoring of activity and energy expenditure. At the software level, a modular cloud platform performs data processing to detect relevant cardiac events and to provide advanced visualization capabilities. As a case study, we have implemented our system at the Cardiac Rehabilitation program at Donostia University Hospital (Spain). Finally, the validation of the 12-lead ECG recording system is also presented and discussed. © 2014 Copyright Taylor & Francis Group, LLC.

Sanchez E.,Vicomtech IK | Toro C.,Vicomtech IK | Carrasco E.,Vicomtech IK | Bonachela P.,University of Seville | And 3 more authors.
2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011 | Year: 2011

Alzheimer Disease (AD) has become a major issue in developed countries due to medical advances that have extended the population longevity. Recent advances in early detection date the initial stages of AD several years before the first recognizable symptoms appear visible. © 2011 IEEE.

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