• A metrology-based approach for measuring the social dimension of cognitive trust in collaborative networks 

      Andrade-Garda, Javier; Anguera, Áurea; Ares-Casal, Juan; García-Vázquez, Rafael; Lara, Juan-Alfonso; Lizcano, David; Rodríguez-Yáñez, Santiago; Suárez-Garaboa, Sonia (2020)
      [Abstract]: This paper addresses the measurement of the social dimension of cognitive trust in collaborative networks. Trust indicators are typically measured and combined in literature in order to calculate partners’ ...
    • Classification of Radiologically Isolated Syndrome and Clinically Isolated Syndrome with Machine-Learning Techniques 

      Mato-Abad, Virginia; Labiano-Fontcuberta, Andrés; Rodríguez-Yáñez, Santiago; García-Vázquez, Rafael; Munteanu, Cristian-Robert; Andrade-Garda, Javier; Domingo-Santos, Ángela; Galán Sánchez-Seco, Victoria; Aladro, Yolanda; Martínez-Ginés, Mª Luisa; Ayuso, Lucía; Benito-León, Julián (2019)
      [Abstract]: Introduction: The unanticipated magnetic resonance imaging (MRI) detection in the brain of asymptomatic subjects of white matter lesions suggestive of multiple sclerosis (MS) has been named as radiologically ...
    • Environmental Sustainability in Information Technologies Governance 

      Rivas-Asanza, Wilmer; Celleri-Pacheco, Jennifer; Andrade-Garda, Javier; García-Vázquez, Rafael; Rodríguez-Yáñez, Santiago; Mato-Abad, Virginia; Suárez-Garaboa, Sonia (M D P I AG, 2018-12-15)
      [Abstract] In the present day, many risk factors affect the continuity of a business. However, this situation produces a conducive atmosphere to approach alternatives that relieve this situation for organizations. Within ...
    • Impactos de la bioinformática y la genómica en la medicina del siglo XXI 

      Martín Sánchez, Fernando; López-Campos, G. H.; Ibarrola, N.; Rodríguez-Yáñez, Santiago (Universidade da Coruña, 2001)
    • Random Forest-Based Prediction of Stroke Outcome 

      Fernández-Lozano, Carlos; Hervella, Pablo; Mato-Abad, Virginia; Rodríguez-Yáñez, Manuel; Suárez-Garaboa, Sonia; López Dequidt, Iria Alejandra; Estany-Gestal, Ana; Sobrino, Tomás; Campos, Francisco; Castillo, José; Rodríguez-Yáñez, Santiago; Iglesias Rey, Ramón (Nature Research, 2021)
      [Abstract] We research into the clinical, biochemical and neuroimaging factors associated with the outcome of stroke patients to generate a predictive model using machine learning techniques for prediction of mortality and ...
    • Using Artificial Neural Networks for Identifying Patients with Mild Cognitive Impairment Associated with Depression Using Neuropsychological Test Features 

      Mato-Abad, Virginia; Jiménez, Isabel; García-Vázquez, Rafael; Aldrey, José M.; Rivero, Daniel; Cacabelos, Purificación; Andrade-Garda, Javier; Pías-Peleteiro, Juan M.; Rodríguez-Yáñez, Santiago (M D P I AG, 2018-09-12)
      [Abstract] Depression and cognitive impairment are intimately associated, especially in elderly people. However, the association between late-life depression (LLD) and mild cognitive impairment (MCI) is complex and currently ...