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| Formato: | Artículo científico |
| Lenguaje: | en |
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Asociación Española para la Inteligencia Artificial
2017
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| Acceso en línea: | https://www.redalyc.org/articulo.oa?id=92549619005 |
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- A Knowledge Representation and Reasoning System for Multimodal Neuroimaging Studies Ana Coelho Paulo Marques Ricardo Magalhães Nuno Sousa José Neves Victor Alves Ingeniería Case based Reasoning Multimodal Neuroimaging Artificial Intelligence Multimodal neuroimaging analyses are of major interest for both research and clinical practice, enabling the combined evaluation of the structure and function of the human brain. These analyses generate large volumes of data and consequently increase the amount of possibly useful information. Indeed, BrainArchive was developed in order to organize, maintain and share this complex array of neuroimaging data. It stores all the information available for each participant/patient, being dynamic by nature. Notably, the application of reasoning systems to this multimodal data has the potential to provide tools for the identification of undiagnosed diseases. As a matter of fact, in this work we explore how Artificial Intelligence techniques for decision support work, namely Case- Based Reasoning (CBR) that may be used to achieve such endeavour. Particularly, it is proposed a reasoning system that uses the information stored in BrainArchive as past knowledge for the identification of individuals that are at risk of contracting some brain disease. 2017 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92549619005 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.59 Vol.20