Publicaciones en colaboración con investigadores/as de Hospital Universitario de Getafe (22)

2024

  1. Surprising and novel multivariate sequential patterns using odds ratio for temporal evolution in healthcare

    BMC Medical Informatics and Decision Making, Vol. 24, Núm. 1

2022

  1. Using the Diagnostic Odds Ratio to Select Patterns to Build an Interpretable Pattern-Based Classifier in a Clinical Domain: Multivariate Sequential Pattern Mining Study

    JMIR Medical Informatics, Vol. 10, Núm. 8

2020

  1. A methodology based on multiple criteria decision analysis for combining antibiotics in empirical therapy

    Artificial Intelligence in Medicine, Vol. 102

2019

  1. A lightweight acquisition of expert rules for interoperable clinical decision support systems

    Knowledge-Based Systems, Vol. 167, pp. 98-113

  2. Exploring Antimicrobial Resistance Prediction Using Post-hoc Interpretable Methods

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

  3. Impact of expert knowledge on the detection of patients at risk of antimicrobial therapy failure by clinical decision support systems

    Journal of Biomedical Informatics, Vol. 94

  4. Improving interpretable prediction models for antimicrobial resistance

    Proceedings - IEEE Symposium on Computer-Based Medical Systems

2018

  1. A decision support system for antibiotic prescription based on local cumulative antibiograms

    Journal of Biomedical Informatics, Vol. 84, pp. 114-122

  2. Impact of time series discretization on intensive care burn unit survival classification

    Progress in Artificial Intelligence, Vol. 7, Núm. 1, pp. 41-53

  3. Investigación en Inteligencia Artificial en Medicina del grupo AIKE de la Universidad de Murcia

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  4. Metodología basada en agrupamiento y visualizaci ón para el fenotipado de pacientes

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  5. Risk factors for development of antibiotic resistance of "Enterococcus faecium" to Vancomycin: A subgroup discovery approach: abstract

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  6. Risk factors for development of antibiotic resistance of enterococcus faecium to vancomycin. A subgroup discovery approach

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

2017

  1. A Decision Support Visualization Tool for Infection Management Based on BMPN and DMN

    Communications in Computer and Information Science

  2. A Process-Oriented Approach for Supporting Clinical Decisions for Infection Management

    Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017

2016

  1. A clinical decision support system for an Antimicrobial Stewardship Program

    HEALTHINF 2016 - 9th International Conference on Health Informatics, Proceedings; Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016

  2. Clinical decision support using antimicrobial susceptibility test results

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

  3. Development of a clinical decision support system for antibiotic management in a hospital environment

    Progress in Artificial Intelligence, Vol. 5, Núm. 3, pp. 181-197

  4. Proposal of a big data platform for intelligent antibiotic surveillance in a hospital

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

2015

  1. Computable representation of antimicrobial recommendations using clinical rules: A clinical information systems perspective

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