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Pilar López-Úbeda
Pilar López-Úbeda
HT Médica
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COVID-19 detection in radiological text reports integrating entity recognition
P López-Úbeda, MC Díaz-Galiano, T Martín-Noguerol, A Luna, ...
Computers in Biology and Medicine 127, 104066, 2020
432020
Automatic medical protocol classification using machine learning approaches
P López-Úbeda, MC Díaz-Galiano, T Martín-Noguerol, A Luna, ...
Computer Methods and Programs in Biomedicine 200, 105939, 2021
302021
Natural language processing in radiology: update on clinical applications
P López-Úbeda, T Martín-Noguerol, K Juluru, A Luna
Journal of the American College of Radiology 19 (11), 1271-1285, 2022
222022
Detection of unexpected findings in radiology reports: A comparative study of machine learning approaches
P López-Úbeda, MC Díaz-Galiano, T Martín-Noguerol, A Ureña-López, ...
Expert Systems with Applications 160, 113647, 2020
212020
Transfer learning applied to text classification in Spanish radiological reports
P López-Úbeda, MC Díaz-Galiano, LA Ureña-López, MT Martín-Valdivia, ...
Proceedings of the LREC 2020 Workshop on Multilingual Biomedical Text …, 2020
15*2020
Extracting neoplasms morphology mentions in spanish clinical cases through word embeddings
P López-Úbeda, MC Díaz-Galiano, MT Martín-Valdivia, LA Ureña-López
Proceedings of IberLEF, 2020
152020
Detecting Anorexia in Spanish Tweets
P López-Úbeda, FM Plaza-del-Arco, MC Díaz-Galiano, LA Lopez-Urena, ...
Proceedings of the International Conference on Recent Advances in Natural …, 2019
152019
An Integrated Approach to Biomedical Term Identification Systems
P López-Úbeda, MC Díaz-Galiano, A Montejo-Ráez, MT Martín-Valdivia, ...
Applied Sciences 10 (5), 1726, 2020
132020
How successful is transfer learning for detecting anorexia on social media?
P Lopez-Ubeda, FM Plaza-del-Arco, MC Diaz-Galiano, ...
Applied Sciences 11 (4), 1838, 2021
122021
Natural language processing in pathology: current trends and future insights
P López-Úbeda, T Martín-Noguerol, J Aneiros-Fernández, A Luna
The American Journal of Pathology 192 (11), 1486-1495, 2022
112022
Using machine learning and deep learning methods to find mentions of adverse drug reactions in social media
P López-Úbeda, MC Díaz-Galiano, MT Martín-Valdivia, LA Ureña-López
Proceedings of the Fourth Social Media Mining for Health Applications …, 2019
102019
SINAI en TASS 2018 Task 3. Clasificando acciones y conceptos con UMLS en MedLine
P López-Úbeda, MC Díaz-Galiano, MT Martín-Valdivia, LA Ureña-López
Procesamiento del Lenguaje Natural 2172, 77-82, 2018
102018
Using Snomed to recognize and index chemical and drug mentions.
P López-Úbeda, MC Díaz-Galiano, LA Ureña-López, MT Martín-Valdivia
Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, 115-120, 2019
82019
Reply to the Letter to the Editor: “Radiology in the era of large language models: additional facts to consider in the near and the dark side of the moon”
P López-Úbeda, T Martín-Noguerol, A Luna
European Radiology, 2023
72023
CARES: A corpus for classification of Spanish radiological reports
M Chizhikova, P López-Úbeda, J Collado-Montañez, T Martín-Noguerol, ...
Computers in Biology and Medicine 154, 106581, 2023
72023
Machine Learning to Detect ICD10 Codes in Causes of Death.
P López-Úbeda, MC Díaz-Galiano, MT Martín-Valdivia, LAU López
CLEF (Working Notes), 2018
72018
Pre-trained language models to extract information from radiological reports.
P López-Úbeda, MC Díaz-Galiano, LAU López, MT Martín-Valdivia
CLEF (Working Notes), 794-803, 2021
62021
Identifying professions & occupations in health-related social media using natural language processing
AM Murgado, AP Portillo, PL Úbeda, MT Martín-Valdivia, LAU Lopez
Proceedings of the Sixth Social Media Mining for Health (# SMM4H) Workshop …, 2021
62021
Combining word embeddings to extract chemical and drug entities in biomedical literature
P López-Úbeda, MC Díaz-Galiano, LA Ureña-López, MT Martín-Valdivia
BMC bioinformatics 22, 1-18, 2021
52021
Leveraging pubmed to create a specialty-based sense inventory for spanish acronym resolution
A Pomares-Quimbaya, P López-Úbeda, M Oleynik, S Schulz
Digital Personalized Health and Medicine, 292-296, 2020
52020
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