Hospital Universitario de la Princesa -ko ikertzaileekin lankidetzan egindako argitalpenak (12)

2024

  1. Monitoring differences in the function of the autonomic nervous system in patients with chronic insomnia using a wearable device

    Sleep Medicine, Vol. 115, pp. 122-130

2021

  1. Cluster-then-classify methodology for the identification of pain episodes in chronic diseases

    IEEE Journal of Biomedical and Health Informatics

  2. Predictive and diagnosis models of stroke from hemodynamic signal monitoring

    Medical and Biological Engineering and Computing, Vol. 59, Núm. 6, pp. 1325-1337

2019

  1. Comparison of different machine learning approaches to model stroke subtype classification and risk prediction

    2019 Spring Simulation Conference, SpringSim 2019

  2. Comparison of different machine learning approaches to model stroke subtype classification and risk prediction

    Simulation Series

  3. Modular framework to model critical events in stroke patients

    Simulation Series

  4. Prediction of patient's response to OnabotulinumtoxinA treatment for migraine

    Heliyon, Vol. 5, Núm. 2

  5. SMURF: Systematic Methodology for Unveiling Relevant Factors in Retrospective Data on Chronic Disease Treatments

    IEEE Access, Vol. 7, pp. 92598-92614

2018

  1. A novel predictive approach for GVHD after allogeneic SCT based on clinical variables and cytokine gene polymorphisms

    Blood Advances, Vol. 2, Núm. 14, pp. 1719-1737

  2. To what extent are patients with migraine able to predict attacks?

    Journal of Pain Research, Vol. 11, pp. 2083-2094

2017

  1. Support system to improve reading activity in Parkinson’s disease and essential tremor patients

    Sensors (Switzerland), Vol. 17, Núm. 5

2015

  1. Robust and accurate modeling approaches for migraine per-patient prediction from ambulatory data

    Sensors (Switzerland), Vol. 15, Núm. 7, pp. 15419-15442