Cookie Consent by PrivacyPolicies.com

Publicaciones científicas

27 Publicaciones científicas disponibles

  • Minimally Invasive Surgical Approach for the Treatment of Superior Mesenteric Artery Syndrome

    6 de febrero de 2020 | Revista: World Journal of Surgery

    Cienfuegos JA (1,2,3), Hurtado-Pardo L (4), Valentí V (5,6,7), Landecho MF (6,7,4,8), Vivas I (6,7,4,8,9), Estévez MG (10), Diez-Caballero A (11), Hernández-Lizoáin JL (5,6), Rotellar F (5,6,7).

    (1) Department of General Surgery, Clínica Universidad de Navarra, School of Medicine, University of Navarra, Av. Pío XII, 36, 31008, Pamplona, Spain.
    (2) Institute of Health Research of Navarra (IdisNA), Pamplona, Spain.
    (3) CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 31008, Pamplona, Spain.
    (4) Department of General Surgery, University and Polytechnic La Fe Hospital, Valencia, Spain.
    (5) Department of General Surgery, Clínica Universidad de Navarra, School of Medicine, University of Navarra, Av. Pío XII, 36, 31008, Pamplona, Spain.
    (6) Institute of Health Research of Navarra (IdisNA), Pamplona, Spain.
    (7) CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 31008, Pamplona, Spain.
    (8) Department of Internal Medicine, Clínica Universidad de Navarra, School of Medicine, University of Navarra, Pamplona, Spain.
    (9) Department of Radiology, Clínica Universidad de Navarra, School of Medicine, University of Navarra, Pamplona, Spain.
    (10) Department of Radiology, Hospital Universitario Gregorio Marañón, Universidad Complutense de Madrid, Madrid, Spain.
    (11) Department of General Surgery, Centro Médico Teknon, Barcelona, Spain.


  • Does Chronic Kidney Disease Facilitate Malignant Myocardial Fibrosis in Heart Failure with Preserved Ejection Fraction of Hypertensive Origin?

    3 de febrero de 2020 | Revista: Journal of Clinical of Medicine

    Eiros R (1), Romero-González G (2), Gavira JJ (1,3), Beloqui O (3,4), Colina I (3,4), Fortún Landecho M (3,4), López B (3,5,6), González A (3,5,6), Díez J (1,2,3,5,6), Ravassa S (3,5,6).

    (1) Department of Cardiology and Cardiac Surgery, Clínica Universidad de Navarra, 31008 Pamplona, Spain.
    (2) Department of Nephrology, Clínica Universidad de Navarra, 31008 Pamplona, Spain.
    (3) Program of Cardiovascular and Renal Diseases, Instituto de Investigación Sanitaria de Navarra (IdiSNA), 31008 Pamplona, Spain.
    (4) Department of Internal Medicine, Clínica Universidad de Navarra, 31008 Pamplona, Spain.
    (5) Program of Cardiovascular Diseases, CIMA Universidad de Navarra, 31008 Pamplona, Spain.
    (6) Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), 28029 Madrid, Spain.


  • Comparison of machine learning algorithms for clinical event prediction (risk of coronary heart disease).

    30 de julio de 2019 | Revista: Journal Biomedical Informatics

    Beunza JJ (1), Puertas E (2), García-Ovejero E (3), Villalba G (4), Condes E 5, Koleva G (6), Hurtado C (7), Landecho MF (8)

    (1) Machine Learning Health working group, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid. Madrid. Spain; Department of Medicine, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid. Madrid. Spain.
    (2) Machine Learning Health working group, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid. Madrid. Spain; Department of Computer Science and Technology, School of Architecture, Engineering and Design, Universidad Europea de Madrid. Madrid. Spain.
    (3) Machine Learning Health working group, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid. Madrid. Spain; Department of Nursing and Psychology, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid. Madrid. Spain.
    (4) Machine Learning Health working group, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid. Madrid. Spain; Indra. Madrid. Spain.
    (5) Machine Learning Health working group, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid. Madrid. Spain.
    (6) Machine Learning Health working group, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid. Madrid. Spain; Harvard T.H.Chan School of Public Health. Boston, USA.
    (7) Machine Learning Health working group, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid. Madrid. Spain; Department of Pharmacy and Biotechnology, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid. Madrid. Spain.
    (8) Machine Learning Health working group, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid. Madrid. Spain; Departament of Internal Medicine, Clinica Universidad de Navarra. Pamplona. Spain.


  • Comparison of correlations of equation-derived body fat percentage and body mass index with carotid intima-media thickness

    23 de noviembre de 2018 | Revista: Acta Diabetológica

    Landecho MF (1,2), Colina I (1,2), Sunsundegui P (1), Camarero B (3), Núñez-Córdoba JM (4,5), Beloqui Ó (1,2).

    (1) General Health Check-up Unit, Internal Medicine Department, Clínica Universidad de Navarra, Avenida Pío XII, 31008, Pamplona, Spain.
    (2) IdiSNA, Navarra Institute for Health Research, Pamplona, Spain.
    (3) General Surgery and Digestive System Service, Complejo Hospitalario de Navarra, Pamplona, Spain.
    (4) IdiSNA, Navarra Institute for Health Research, Pamplona, Spain.
    (5) Research Support Service, Central Clinical Trials Unit, Clínica Universidad de Navarra, Avenida Pío XII, 36, 31008, Pamplona, Spain.

No hay más publicaciones científicas

No hay más páginas para cargar