A rule-based Decision Support System is presented for the diagnosis of Coronary Artery Disease. The generation of the decision support system is realized automatically using a thr...
Markos G. Tsipouras, Themis P. Exarchos, Dimitrios...
The growing complexity of distributed biomedical application requirements present new challenges to the representation of software architectural analysis and design. This is the c...
In this paper we discuss a framework for modeling the 3D lung dynamics of normal and diseased human subjects and visualizing them using an Augmented Reality (AR) based environment...
Anand P. Santhanam, Cali M. Fidopiastis, Paul Dave...
We outline the application of a framework for managing information quality (IQ) in proteomics. The approach allows scientists to define the quality characteristics that are of im...
Alun D. Preece, Binling Jin, Paolo Missier, Suzann...
Diffusion tensor magnetic resonance imaging, which measures directional information of water diffusion in the brain, has emerged as a powerful tool for human brain studies. In thi...
Ferran Prados, Anton Bardera, Mateu Sbert, Imma Bo...
Inductive learning systems have been successfully applied in a number of medical domains. It is generally accepted that the highest accuracy results that an inductive learning sys...
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen...
Identifying protein secondary structures is a difficult task. Recently, a lot of software tools for protein secondary structures prediction have been produced and made available ...
Luigi Palopoli, Simona E. Rombo, Giorgio Terracina...
This paper describes techniques used in a Web-based decision support system to enhance dermatological diagnosis for rural and remote communities. We proposed a technique to improv...
Monica H. Ou, Geoff A. W. West, Mihai Lazarescu, C...
— Most biomedical research databases contain considerable amounts of time-oriented data. However, temporal knowledge about the contextual meaning of such data is not usually repr...