Publicaciones en colaboración con investigadores/as de Hospital Universitario Central de Asturias (19)

2024

  1. Improving the ability to discriminate medical multiple-choice questions through the analysis of the competitive examination to assign residency positions in Spain

    BMC Medical Education, Vol. 24, Núm. 1

2022

  1. Answering Multiple-Choice Questions in Which Examinees Doubt What the True Answer Is among Different Options

    Mathematics, Vol. 10, Núm. 23

  2. Results of the 2019 and 2020 MIR test calls according to academic scale

    Investigacion en Educacion Medica, Vol. 11, Núm. 42, pp. 52-63

  3. Results of the 2019 and 2020 MIR test calls according to academic scale

    Investigacion en Educacion Medica, Vol. 11, Núm. 43, pp. 51-62

2020

  1. Genetic algorithm based on support vector machines for computer vision syndrome classification in health personnel

    Neural Computing and Applications, Vol. 32, Núm. 5, pp. 1239-1248

  2. The popularity of neurology in Spain: An analysis of specialty selection

    Neurologia, Vol. 35, Núm. 8, pp. 543-550

2019

  1. Prediction of computer vision syndrome in health personnel by means of genetic algorithms and binary regression trees

    Sensors (Switzerland), Vol. 19, Núm. 12

  2. Psychometric analysis of questions associated with radiological images in the competitive examination for access to residency programs in Spain

    Radiologia, Vol. 61, Núm. 5, pp. 412-429

  3. The MIR 2018 exam: Psychometric study and comparison with the previous nine years

    Medicina (Lithuania), Vol. 55, Núm. 12

2018

  1. A hybrid algorithm for the prediction of computer vision syndrome in health personnel based on trees and evolutionary algorithms

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Evolución de los parámetros dificultad y discriminación en el ejercicio de examen MIR: análisis de las convocatorias de 2009 a 2017

    FEM. Revista de la Fundación Educación Médica, Vol. 21, Núm. 4, pp. 181-193

  3. Genetic algorithm based on support vector machines for computer vision syndrome classification

    Advances in Intelligent Systems and Computing

  4. Outcome prediction for salivary gland cancer using Multivariate Adaptative Regression Splines (MARS) and Self-Organizing Maps (SOM)

    Advances in Intelligent Systems and Computing

2017

  1. Choice of the specialty of diagnostic radiology by results of the competitive examination to assign residency positions from 2006 to 2015

    Radiologia, Vol. 59, Núm. 3, pp. 232-246

  2. El examen MIR 2015 desde el punto de vista de la teoría de respuesta al ítem

    FEM. Revista de la Fundación Educación Médica, Vol. 20, Núm. 1, pp. 29-38

  3. Prognostic value of computed tomography pulmonary angiography indices in patients with cancer-related pulmonary embolism: Data from a multicenter cohort study

    European Journal of Radiology, Vol. 87, pp. 66-75

2016

  1. A nomogram for predicting complications in patients with solid tumours and seemingly stable febrile neutropenia

    British Journal of Cancer, Vol. 114, Núm. 11, pp. 1191-1198

2015

  1. Prediction of serious complications in patients with seemingly stable febrile neutropenia: Validation of the clinical index of stable febrile neutropenia in a prospective cohort of patients from the FINITE study

    Journal of Clinical Oncology, Vol. 33, Núm. 5, pp. 465-471

2013

  1. Survival model in oral squamous cell carcinoma based on clinicopathological parameters, molecular markers and support vector machines

    Expert Systems with Applications, Vol. 40, Núm. 12, pp. 4770-4776