Ernestina
Menasalvas
Publicacións nas que colabora con Ernestina Menasalvas (48)
2023
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Clustering-based Pattern Discovery in Lung Cancer Treatments
Proceedings - IEEE Symposium on Computer-Based Medical Systems
2022
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A Trusted Platform Module-based, Pre-emptive and Dynamic Asset Discovery Tool
Journal of Information Security and Applications, Vol. 71
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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
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A data-driven methodology towards evaluating the potential of drug repurposing hypotheses
Computational and Structural Biotechnology Journal, Vol. 19, pp. 4559-4573
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Clustering moving object trajectories: Integration in CROSS-CPP analytic toolbox
Applied Sciences (Switzerland), Vol. 11, Núm. 8
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DisMaNET: A network-based tool to cross map disease vocabularies
Computer Methods and Programs in Biomedicine, Vol. 207
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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
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Information extraction from Spanish radiology reports using multilingual BERT
CEUR Workshop Proceedings
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Integrating speculation detection and deep learning to extract lung cancer diagnosis from clinical notes
Applied Sciences (Switzerland), Vol. 11, Núm. 2, pp. 1-21
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Leveraging network analysis to evaluate biomedical named entity recognition tools
Scientific Reports, Vol. 11, Núm. 1
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Towards Treatment Patterns Validation in Lung Cancer Patients
2021 IEEE 8th International Conference on Data Science and Advanced Analytics, DSAA 2021
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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
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A data-driven approach for analyzing healthcare services extracted from clinical records
Proceedings - IEEE Symposium on Computer-Based Medical Systems
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Analysis of new nosological models from disease similarities using clustering
Proceedings - IEEE Symposium on Computer-Based Medical Systems
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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
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DISNET: A framework for extracting phenotypic disease information from public sources
PeerJ, Vol. 8
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Developing a Data Analytics Toolbox to Support CPS-based Services
2020 9th Mediterranean Conference on Embedded Computing, MECO 2020
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How Wikipedia disease information evolve over time? An analysis of disease-based articles changes
Information Processing and Management, Vol. 57, Núm. 3
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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
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Lung cancer diagnosis extraction from clinical notes written in spanish
Proceedings - IEEE Symposium on Computer-Based Medical Systems