Listar GI-ISLA-Artigos por autor "Fernández-Lozano, Carlos"

Mostrando ítems 1-2 de 2

    • A review on machine learning approaches and trends in drug discovery 

      Carracedo-Reboredo, Paula; Liñares Blanco, Jose; Rodríguez-Fernández, Nereida; Cedrón, Francisco; Novoa, Francisco; Carballal, Adrián; Maojo, Víctor; Pazos, A.; Fernández-Lozano, Carlos (Research Network of Computational and Structural Biotechnology, 2021)
      Abstract: Drug discovery aims at finding new compounds with specific chemical properties for the treatment of diseases. In the last years, the approach used in this search presents an important component in computer science ...

    • 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 ...