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An evolutionary algorithm to discover quantitative association rules from huge databases without the need for an a priori discretization

Expert systems with applications, 2012, Vol.39 (1), p.585-593

2012

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Overview of BioCreative II gene mention recognition

Genome biology, 2008-01, Vol.9 Suppl 2 (Suppl 2), p.S2-S2, Article S2

2008

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Automatic Detection in Twitter of Non-Traumatic Grief Due to Deaths by COVID-19: A Deep Learning Approach

IEEE access, 2023, Vol.11, p.143402-143416

2023

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Improving image retrieval effectiveness via query expansion using MeSH hierarchical structure

Journal of the American Medical Informatics Association : JAMIA, 2013-11, Vol.20 (6), p.1014-1020

2013

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Age-Stratified Analysis of COVID-19 Outcome Using Machine Learning Predictive Models

Healthcare (Basel), 2022-10, Vol.10 (10), p.2027

2022

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Obtaining Significant and Interpretable Rules for Subgroup Discovery Tasks

Revista IEEE América Latina, 2017-10, Vol.15 (10), p.2012-2016

2017

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Comparison of Standard Discretization with a New Method for Quantitative Association Rules

Revista IEEE América Latina, 2016-04, Vol.14 (4), p.1879-1885

2016

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Deterministic Extraction of Compact Sets of Rules for Subgroup Discovery

Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015, Vol.9375, p.138-145

2015

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Anterior sacral meningocele presenting as intracystic bleeding

European spine journal, 2018-07, Vol.27 (Suppl 3), p.276-280

2018

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Improving image retrieval effectiveness via query expansion using MeSH hierarchical structure

Journal of the American Medical Informatics Association : JAMIA, 2013-11, Vol.20 (6), p.1014-1020

2013

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Neurologically Asymptomatic Lumbar Traumatic Dislocation With Vascular Compression in a Patient With Ankylosing Spondylitis: Case Report

International journal of spine surgery, 2021-02, Vol.14 (s4), p.S16-S20

2021

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Application of classification trees for improving optical identification of common opaque minerals

Computers & geosciences, 2020-07, Vol.140, p.104480, Article 104480

2020

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Machine Learning Applied to Clinical Laboratory Data in Spain for COVID-19 Outcome Prediction: Model Development and Validation

Journal of medical Internet research, 2021-04, Vol.23 (4), p.e26211-e26211

2021

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Current use of Social Media in Neurosurgery in Spain

Neurocirugia (Asturias, Spain), 2018-05, Vol.29 (3), p.109-115

2018

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Discovering Numeric Association Rules via Evolutionary Algorithm

Advances in Knowledge Discovery and Data Mining, 2002, p.40-51

2002

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Efecto de la edad en el pronóstico de pacientes con traumatismo craneoencefálico sometidos a craneotomía: análisis de una serie quirúrgica

Revista de neurologiá, 2018-02, Vol.66 (4), p.113

2018

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Trigeminal neuralgia secondary to petrous endostosis

Neurocirugía (Asturias, Spain), 2017-09, Vol.28 (5), p.247-250

2017

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Searching for the most significant rules: an evolutionary approach for subgroup discovery

Soft computing (Berlin, Germany), 2017-05, Vol.21 (10), p.2609-2618

2017

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A machine-learning approach to negation and speculation detection in clinical texts

Journal of the American Society for Information Science and Technology, 2012-07, Vol.63 (7), p.1398-1410

2012

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Application of a Rule-Based Classifier to Data Regarding Radiation Toxicity in Prostate Cancer Treatment

Biomedical Engineering Systems and Technologies, p.384-398

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Current use of Social Media in Neurosurgery in Spain

Neurocirugía (Barcelona. Internet. English ed.), 2018-05, Vol.29 (3), p.109-115

2018

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Compost y vermicompost como enmiendas en la recuperación de un suelo degradado por el manejo de Gypsophila paniculata

Scientia Agropecuaria, 2018-01, Vol.9 (1), p.43-52

2018

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Situación actual del uso de redes sociales en Neurocirugía en España

Neurocirugía (Asturias, Spain), 2018-05, Vol.29 (3), p.109-115

2018

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The SINAMED and ISIS Projects: Applying Text Mining Techniques to Improve Access to a Medical Digital Library

Lecture notes in computer science, 2006, p.548-551

2006

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Using MeSH to Expand Queries in Medical Image Retrieval

Medical Content-Based Retrieval for Clinical Decision Support, p.36-46

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An evolutionary algorithm to discover quantitative association rules from huge databases without the need for an a priori discretization

Overview of BioCreative II gene mention recognition

Automatic Detection in Twitter of Non-Traumatic Grief Due to Deaths by COVID-19: A Deep Learning Approach

Improving image retrieval effectiveness via query expansion using MeSH hierarchical structure

Age-Stratified Analysis of COVID-19 Outcome Using Machine Learning Predictive Models

Obtaining Significant and Interpretable Rules for Subgroup Discovery Tasks

Comparison of Standard Discretization with a New Method for Quantitative Association Rules

Deterministic Extraction of Compact Sets of Rules for Subgroup Discovery

Anterior sacral meningocele presenting as intracystic bleeding

Improving image retrieval effectiveness via query expansion using MeSH hierarchical structure

Neurologically Asymptomatic Lumbar Traumatic Dislocation With Vascular Compression in a Patient With Ankylosing Spondylitis: Case Report

Application of classification trees for improving optical identification of common opaque minerals

Machine Learning Applied to Clinical Laboratory Data in Spain for COVID-19 Outcome Prediction: Model Development and Validation

Current use of Social Media in Neurosurgery in Spain

Discovering Numeric Association Rules via Evolutionary Algorithm

Efecto de la edad en el pronóstico de pacientes con traumatismo craneoencefálico sometidos a craneotomía: análisis de una serie quirúrgica

Trigeminal neuralgia secondary to petrous endostosis

Searching for the most significant rules: an evolutionary approach for subgroup discovery

A machine-learning approach to negation and speculation detection in clinical texts

Application of a Rule-Based Classifier to Data Regarding Radiation Toxicity in Prostate Cancer Treatment

Current use of Social Media in Neurosurgery in Spain

Compost y vermicompost como enmiendas en la recuperación de un suelo degradado por el manejo de Gypsophila paniculata

Situación actual del uso de redes sociales en Neurocirugía en España

The SINAMED and ISIS Projects: Applying Text Mining Techniques to Improve Access to a Medical Digital Library

Using MeSH to Expand Queries in Medical Image Retrieval

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