Bernardo Canovas Segura-rekin lankidetzan egindako argitalpenak (20)

2023

  1. Approaches for Dealing with Seasonality in Clinical Prediction Models for Infections

    Applied Sciences (Switzerland), Vol. 13, Núm. 14

  2. Meaningful time-related aspects of alerts in Clinical Decision Support Systems. A unified framework

    Journal of Biomedical Informatics, Vol. 143

2021

  1. Multi-resistant Bacterial Infection Surveillance using a Graph Database with Spatio-temporal Information

    HEALTHINF: PROCEEDINGS OF THE 14TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES - VOL. 5: HEALTHINF

  2. Multi-resistant bacterial infection surveillance using a graph database with spatio-temporal information

    HEALTHINF 2021 - 14th International Conference on Health Informatics; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021

  3. Seasonality in Infection Predictions Using Interpretable Models for High Dimensional Imbalanced Datasets

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

  4. WASPSS: A Clinical Decision Support System for Antimicrobial Stewardship

    Recent Advances in Digital System Diagnosis and Management of Healthcare

2020

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

    Artificial Intelligence in Medicine, Vol. 102

  2. Graph Databases for Contact Analysis in Infections Using Spatial Temporal Models

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

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. 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

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)