Dagliati, Arianna; Sacchi, Lucia; Tibollo, V.; Cogni, G.; Teliti, M.; Martinez-Millana, Antonio; Traver Salcedo, Vicente; Segagni, Daniele; Posada, J.; Ottaviano, M.; Fico, Giuseppe; Arredondo, M.T.; De Cata, P.; Chiovato, L.; Bellazzi, Riccardo(Oxford University Press, 2018-02)
[EN] Objective To describe the development, as part of the European Union MOSAIC (Models and Simulation Techniques for Discovering Diabetes Influence Factors) project, of a dashboard-based system for the management of type ...
Garcia-Gomez, Juan M; Vidal, César; Martí-Bonmatí, Luís; Galant, Joaquín; Sans, Nicolas; Robles Viejo, Montserrat; Casacuberta Nolla, Francisco(Springer-Verlag, 2004-03)
[EN] This article presents a pattern-recognition approach to the soft tissue tumors (STT) benign/malignant character diagnosis using magnetic resonance (MR) imaging applied to a large multicenter database. Objective: To ...
Marco-Ruiz, Luis; Bones, Erlend; de la Asuncion, Estela; Gabarron, Elia; Aviles-Solis, Juan Carlos; Lee, Eunji; Traver Salcedo, Vicente; Sato, Keiichi; Bellika, Johan G.(Elsevier, 2017-10)
[EN] Symptom checkers are software tools that allow users to submit a set of symptoms and receive advice related to them in the form of a diagnosis list, health information or triage. The heterogeneity of their potential ...
Object: This study demonstrates that 3T SV-MRS data can be used with the currently available automatic brain tumour diagnostic classifiers which were trained on databases of 1.5T spectra. This will allow the existing large ...
Pérez González, Alfonso María(Universitat Politècnica de València, 2015-07-17)
[EN] This work presents a decision support system (Criterion) that permits to develop guidelines in which the decision making is done in an environment of uncertainty. The proposed system gives the user the capability to ...
Fuster García, Elíes; Tortajada Velert, Salvador; Vicente Robledo, Javier; Robles Viejo, Montserrat; García Gómez, Juan Miguel(Wiley-Blackwell, 2013-05)
The current challenge in automatic brain tumor classification based on MRS is the improvement of the robustness of the classification models that explicitly account for the probable breach of the independent and identically ...
Sáez Silvestre, Carlos; Martí-Bonmatí, Luis; Alberich Bayarri, Ángel; Robles Viejo, Montserrat; García Gómez, Juan Miguel(Elsevier, 2014-02)
The results of a randomized pilot study and qualitative evaluation of the clinical decision support system
Curiam BT are reported. We evaluated the system's feasibility and potential value as a radiological
information ...