Ernestina Menasalvas-rekin lankidetzan egindako argitalpenak (48)

2023

  1. Clustering-based Pattern Discovery in Lung Cancer Treatments

    Proceedings - IEEE Symposium on Computer-Based Medical Systems

2022

  1. A Trusted Platform Module-based, Pre-emptive and Dynamic Asset Discovery Tool

    Journal of Information Security and Applications, Vol. 71

  2. Influenza and Measles-MMR: two case study of the trend and impact of vaccine-related Twitter posts in Spanish during 2015-2018

    Human Vaccines and Immunotherapeutics, Vol. 18, Núm. 1, pp. 1-16

2021

  1. A data-driven methodology towards evaluating the potential of drug repurposing hypotheses

    Computational and Structural Biotechnology Journal, Vol. 19, pp. 4559-4573

  2. Clustering moving object trajectories: Integration in CROSS-CPP analytic toolbox

    Applied Sciences (Switzerland), Vol. 11, Núm. 8

  3. DisMaNET: A network-based tool to cross map disease vocabularies

    Computer Methods and Programs in Biomedicine, Vol. 207

  4. Extracting Cancer Treatments from Clinical Text written in Spanish: A Deep Learning Approach

    2021 IEEE 8th International Conference on Data Science and Advanced Analytics, DSAA 2021

  5. Information extraction from Spanish radiology reports using multilingual BERT

    CEUR Workshop Proceedings

  6. Integrating speculation detection and deep learning to extract lung cancer diagnosis from clinical notes

    Applied Sciences (Switzerland), Vol. 11, Núm. 2, pp. 1-21

  7. Leveraging network analysis to evaluate biomedical named entity recognition tools

    Scientific Reports, Vol. 11, Núm. 1

  8. Towards Treatment Patterns Validation in Lung Cancer Patients

    2021 IEEE 8th International Conference on Data Science and Advanced Analytics, DSAA 2021

  9. Towards the Representation of Network Assets in Health Care Environments Using Ontologies

    Methods of Information in Medicine, Vol. 60, Núm. 3, pp. E89-E102

2020

  1. A data-driven approach for analyzing healthcare services extracted from clinical records

    Proceedings - IEEE Symposium on Computer-Based Medical Systems

  2. Analysis of new nosological models from disease similarities using clustering

    Proceedings - IEEE Symposium on Computer-Based Medical Systems

  3. Creating a metamodel based on machine learning to identify the sentiment of vaccine and disease-related messages in twitter: The mavis study

    Proceedings - IEEE Symposium on Computer-Based Medical Systems

  4. DISNET: A framework for extracting phenotypic disease information from public sources

    PeerJ, Vol. 8

  5. Developing a Data Analytics Toolbox to Support CPS-based Services

    2020 9th Mediterranean Conference on Embedded Computing, MECO 2020

  6. How Wikipedia disease information evolve over time? An analysis of disease-based articles changes

    Information Processing and Management, Vol. 57, Núm. 3

  7. Identifying polarity in tweets from an imbalanced dataset about diseases and vaccines using a meta-model based on machine learning techniques

    Applied Sciences (Switzerland), Vol. 10, Núm. 24, pp. 1-13

  8. Lung cancer diagnosis extraction from clinical notes written in spanish

    Proceedings - IEEE Symposium on Computer-Based Medical Systems