Publicaciones en colaboración con investigadores/as de Hospital Universitario de Salamanca (25)

2024

  1. Assessing the Effectiveness of Textual Recommendations in KoopaML: A Comparative Study on Non-Expert Users' ML Pipeline Development

    International Journal on Semantic Web and Information Systems, Vol. 20, Núm. 1

  2. D-AI-COM: A DICOM Reception Node to Automate the Application of Artificial Intelligence Scripts to Medical Imaging Data

    Lecture Notes in Networks and Systems

2023

  1. Are Textual Recommendations Enough? Guiding Physicians Toward the Design of Machine Learning Pipelines Through a Visual Platform

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

  2. Flexible Heuristics for Supporting Recommendations Within an AI Platform Aimed at Non-expert Users

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

  3. Refactoring User Interfaces Through a Data-Driven Framework: a Case Study in the Health Domain

    Proceedings - 2023 49th Latin American Computing Conference, CLEI 2023

  4. Testing and Improvements of KoopaML: A Platform to Ease the Development of Machine Learning Pipelines in the Medical Domain

    Lecture Notes in Educational Technology (Springer Science and Business Media Deutschland GmbH), pp. 210-217

2021

  1. A platform to support the visual analysis of the SALMANTICOR study outcomes: Conveying cardiological data to lay users

    ACM International Conference Proceeding Series

  2. Application of artificial intelligence algorithms within the medical context for non-specialized users: the CARTIER-IA platform

    IJIMAI, Vol. 6, Núm. 6, pp. 46-53

  3. Bringing machine learning closer to non-experts: Proposal of a user-friendly machine learning tool in the healthcare domain

    ACM International Conference Proceeding Series

  4. Usability Study of CARTIER-IA: A Platform for Medical Data and Imaging Management

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

  5. User-Centered Design Approach for a Machine Learning Platform for Medical Purpose

    Communications in Computer and Information Science

2020

  1. A platform for management and visualization of medical data and medical imaging

    ACM International Conference Proceeding Series

2019

  1. Predictive modeling of ICU healthcare-associated infections from imbalanced data. Using ensembles and a clustering-based undersampling approach

    Applied Sciences (Switzerland), Vol. 9, Núm. 24

2017

  1. Multiclassifier Systems for Predicting Neurological Outcome of Patients with Severe Trauma and Polytrauma in Intensive Care Units

    Journal of Medical Systems, Vol. 41, Núm. 9

2016

  1. Efectividad y predictores de fracaso de la ventilación mecánica no invasiva en la insuficiencia respiratoria aguda

    Medicina Intensiva, Vol. 40, Núm. 1, pp. 9-17

  2. Random forest based ensemble classifiers for predicting healthcare-associated infections in intensive care units

    Advances in Intelligent Systems and Computing

  3. Reply to prediction of Non-invasive mechanical ventilation response: Moving from art to science

    Methods of Information in Medicine

  4. Success/failure prediction of noninvasive mechanical ventilation in intensive care units: Using multiclassifiers and feature selection methods

    Methods of Information in Medicine, Vol. 55, Núm. 3, pp. 234-241

2014

  1. Machine learning methods for mortality prediction of polytraumatized patients in intensive care units - Dealing with imbalanced and high-dimensional data

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

  2. Mining patient data from heterogeneous sources for decision making on administration of non invasive mechanical ventilation in intensive care units

    FUSION 2014 - 17th International Conference on Information Fusion