Now showing items 1-20 of 109

    • A generalized linear model for cardiovascular complications prediction in PD patients 

      Fernández-Lozano, Carlos; Alonso Valente, Rafael; Fidalgo Díaz, Manuel; Pazos, A. (ACM, 2018)
      [Abstract] This study was conducted using machine learning models to identify patient non-invasive information for cardiovascular complications prediction in peritoneal dialysis patients. Nowadays is well known that ...
    • A methodology for the design of experiments in computational intelligence with multiple regression models 

      Fernández-Lozano, Carlos; Gestal, M.; Munteanu, Cristian-Robert; Dorado, Julián; Pazos, A. (Peer J, 2016-12-01)
      [Abstract] The design of experiments and the validation of the results achieved with them are vital in any research study. This paper focuses on the use of different Machine Learning approaches for regression tasks in the ...
    • A Multi-Objective Approach for Anti-Osteosarcoma Cancer Agents Discovery through Drug Repurposing 

      Cabrera-Andrade, Alejandro; López-Cortés, Andrés; Jaramillo-Koupermann, Gabriela; González-Díaz, Humberto; Pazos, A.; Munteanu, Cristian-Robert; Pérez-Castillo, Yunierkis; Tejera, Eduardo (MDPI AG, 2020-11-22)
      [Abstract] Osteosarcoma is the most common type of primary malignant bone tumor. Although nowadays 5-year survival rates can reach up to 60–70%, acute complications and late effects of osteosarcoma therapy are two of the ...
    • A Recommender System Based on Cohorts’ Similarity 

      Almeida, João Rafael; Monteiro, Eriksson; Silva, Luís Bastião; Pazos, A.; Oliveira, José Luís (IOS Press, 2020-06-16)
      [Abstract] Aiming to better understand the genetic and environmental associations of Alzheimer's disease, many clinical trials and scientific studies have been conducted. However, these studies are often based on a small ...
    • A Recommender System to Help Refining Clinical Research Studies 

      Almeida, João Rafael; Silva, João Figueira; Matos, Sergio; Pazos, A.; Oliveira, José Luís (IOS Press, 2021-05-01)
      [Abstract] The process of refining the research question in a medical study depends greatly on the current background of the investigated subject. The information found in prior works can directly impact several stages ...
    • 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 ...
    • A semantic interoperability approach to support integration of gene expression and clinical data in breast cancer 

      Alonso-Calvo, Raúl; Paraíso-Medina, Sergio; Pérez-Rey, David; Alonso-Oset, Enrique; Stiphout, Ruud van; Taylor, Marian; Buffa, Francesca; Fernández-Lozano, Carlos; Pazos, A.; Maojo, Víctor (Elsevier, 2017-06-05)
      [Abstract] Introduction. The introduction of omics data and advances in technologies involved in clinical treatment has led to a broad range of approaches to represent clinical information. Within this context, patient ...
    • Actualización en el abordaje ortoprotésico en las Enfermedades de Charcot-Marie-Tooth 

      Pousada, Thais; Garabal-Barbeira, Jessica; Groba, Betania; Nieto-Riveiro, Laura; Pereira-Loureiro, Javier; Pazos, A. (Universidade da Coruña, 2018)
      [Resumen] Objetivos Este artículo pretende ofrecer una síntesis acerca de las principales características de la intervención y abordaje de las complicaciones del pie en personas afectadas por las enfermedades de ...
    • ANN multiscale model of anti-HIV Drugs activity vs AIDS prevalence in the US at county level based on information indices of molecular graphs and social networks 

      González-Díaz, Humberto; Herrera-Ibatá, Diana María; Duardo-Sánchez, Aliuska; Munteanu, Cristian-Robert; Orbegozo-Medina, Ricardo Alfredo; Pazos, A. (American Chemical Society, 2014)
      [Abstract] This work is aimed at describing the workflow for a methodology that combines chemoinformatics and pharmacoepidemiology methods and at reporting the first predictive model developed with this methodology. The ...
    • Applicability of Clinical Decision Support in Management among Patients Undergoing Cardiac Surgery in Intensive Care Unit: A Systematic Review 

      Pereira, Miguel; Concheiro-Moscoso, Patricia; López-Álvarez, Alexo; Baños, Gerardo; Pazos, A.; Pereira-Loureiro, Javier (MDPI, 2021-03-23)
      [Abstract] The advances achieved in recent decades regarding cardiac surgery have led to a new risk that goes beyond surgeons’ dexterity; postoperative hours are crucial for cardiac surgery patients and are usually spent ...
    • Applying Artificial Intelligence for Operating System Fingerprinting 

      Pérez-Jove, Rubén; Munteanu, Cristian-Robert; Pazos, A.; Vázquez-Naya, José (MDPI, 2021)
      [Abstract] In the field of computer security, the possibility of knowing which specific version of an operating system is running behind a machine can be useful, to assist in a penetration test or monitor the devices ...
    • Aprendizaje basado en ejemplos: desarrollo de aplicaciones empresariales con tecnologías .net 

      Gestal, M.; Fernández-Blanco, Enrique; Rivero, Daniel; Vázquez-Naya, José; Rabuñal, Juan R.; Dorado, Julián; Pazos, A. (Universidad Peruana de Ciencias Aplicadas, 2015-06)
      [Resumen] El framework J2EE ha sido el gran dominador, durante mucho tiempo, en el desarrollo de aplicaciones empresariales. Esto hecho originó la aparición de un rico ecosistema de herramientas, manuales, tutoriales, ...
    • Artificial Neural Networks Manipulation Server: Research on the Integration of Databases and Artificial Neural Networks 

      Santos-del-Riego, Antonino; Dorado, Julián; Arcay Varela, Bernardino; Rodríguez Díaz, Ana Belén; Pazos, A. (Springer U K, 2002-06)
      This paper proposes a new whole and distributed integration approach between Artificial Neural Networks (ANNs) and Databases (DBs) taking into account the different stages of the former’s lifecycle (training, test and ...
    • Artificial Neuron–Glia Networks Learning Approach Based on Cooperative Coevolution 

      Fernández-Blanco, Enrique; Cedrón, Francisco; Pazos, A.; Porto-Pazos, Ana B.; Mesejo, Pablo; Ibáñez, Oscar (World Scientific, 2015-04-06)
      [Abstract] Artificial Neuron–Glia Networks (ANGNs) are a novel bio-inspired machine learning approach. They extend classical Artificial Neural Networks (ANNs) by incorporating recent findings and suppositions about the way ...
    • ASD Module: a software to support the personal autonomy in the daily life of children with autism spectrum disorder 

      Groba, Betania; Pereira-Loureiro, Javier; Nieto-Riveiro, Laura; Pousada, Thais; Falcón, Susana; Munteanu, Cristian-Robert; Pazos, A. (MDPI, 2015-12-04)
      [Abstract] Introduction: It was observed that technology developers expressed a clear interest to design programs that meet the needs of individuals with Autism Spectrum Disorder (ASD). Several authors indicate that any ...
    • Assessing mouse alternatives to access to computer: a case study of a user with cerebral palsy 

      Pousada, Thais; Pereira-Loureiro, Javier; Groba, Betania; Nieto-Riveiro, Laura; Pazos, A. (Taylor & Francis para RESNA, 2014)
      [Abstract] The purpose of this study is to describe the process of assessment of three assistive devices to meet the needs of a woman with cerebral palsy (CP) in order to provide her with computer access and use. The user ...
    • Automated Early Detection of Drops in Commercial Egg Production Using Neural Networks 

      Ramírez-Morales, Iván; Fernández-Blanco, Enrique; Rivero, Daniel; Pazos, A. (Taylor & Francis, 2017-10-17)
      [Abstract] 1. The purpose of this work was to support decision-making in poultry farms by performing automatic early detection of anomalies in egg production. 2. Unprocessed data were collected from a commercial egg ...
    • Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques 

      Puente-Castro, Alejandro; Fernández-Blanco, Enrique; Pazos, A.; Munteanu, Cristian-Robert (Elsevier, 2020-05)
      [Abstract] Early detection is crucial to prevent the progression of Alzheimer’s disease (AD). Thus, specialists can begin preventive treatment as soon as possible. They demand fast and precise assessment in the diagnosis ...
    • Automatic multiscale vascular image segmentation algorithm for coronary angiography 

      Carballal, Adrián; Nóvoa, Francisco; Fernández-Lozano, Carlos; García-Guimaraes, Marcos; Aldama López, Guillermo; Calviño-Santos, Ramón; Vázquez Rodríguez, José Manuel; Pazos, A. (Elsevier, 2018-09)
      [Abstract] Cardiovascular diseases, particularly severe stenosis, are the main cause of death in the western world. The primary method of diagnosis, considered to be the standard in the detection and quantification of ...
    • Automatic Seizure Detection Based on Star Graph Topological Indices 

      Fernández-Blanco, Enrique; Rivero, Daniel; Rabuñal, Juan R.; Dorado, Julián; Pazos, A.; Munteanu, Cristian-Robert (Elsevier, 2012-08-15)
      [Abstract] The recognition of seizures is very important for the diagnosis of patients with epilepsy. The seizure is a process of rhythmic discharge in brain and occurs rarely and unpredictably. This behavior generates a ...