Listar por autor "Mesa, Héctor"
Mostrando ítems 1-5 de 5
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Clinical text classification in Cancer Real-World Data in Spanish
Moreno-Barea, Francisco J.; Mesa, Héctor; Ribelles, Nuria; Alba-Conejo, Emilio
; Jerez-Aragonés, José Manuel (2023-06-29)
Healthcare systems currently store a large amount of clinical data, mostly unstructured textual information, such as electronic health records (EHRs). Manually extracting valuable information from these documents is costly ... -
Machine learning and natural language processing (NLP) approach to predict early progression to first-line treatment in real-world hormone receptor-positive (HRþ)/HER2-negative advanced breast cancer patients.
Ribelles, Nuria; Jerez-Aragonés, José Manuel; Rodríguez-Brazzarola, Pablo; Jiménez-Rodríguez, Begoña; Díaz-Redondo, Tamara; Mesa, Héctor; Márquez, Antonia; Sánchez-Muñoz, Alfonso; Pajares, Bella; Carabantes, Francisco; Bermejo-Pérez, María José; Villar, Ester; Domínguez-Recio, María Emilia; Saez-Lara, Enrique; Gálvez Carvajal, Laura; Godoy-Ortiz, Ana; Franco, Leónardo; Ruiz-Medina, Sofía; López, Irene; Alba-Conejo, Emilio[et al.] (Elsevier, 2021)
Background: CDK4/6 inhibitors plus endocrine therapies are the current standard of care in the first-line treatment of HRþ/HER2-negative metastatic breast cancer, but there are no well-established clinical or molecular ... -
Named Entity Recognition for De-identifying Real-World Health Records in Spanish.
López-García, Guillermo; Moreno-Barea, Francisco J.; Mesa, Héctor; Jerez-Aragonés, José Manuel; Ribelles, Nuria; Alba-Conejo, Emilio; Veredas-Navarro, Francisco Javier[et al.] (Springer Nature, 2023)
A growing and renewed interest has emerged in Electronic Health Records (EHRs) as a source of information for decision-making in clinical practice. In this context, the automatic de-identification of EHRs constitutes an ... -
Named entity recognition for de-identifying Spanish electronic health records
Moreno-Barea, Francisco J.; López-García, Guillermo; Mesa, Héctor; Ribelles, Nuria; Alba-Conejo, Emilio; Jerez-Aragonés, José Manuel; Veredas-Navarro, Francisco Javier[et al.] (Elsevier, 2025-02)
Background and objectives: There is an increasing and renewed interest in Electronic Health Records (EHRs) as a substantial information source for clinical decision making. Consequently, automatic de-identification of EHRs ... -
Solving Scheduling Problems with Genetic Algorithms using a Priority Encoding Scheme
Subirats, J.L.; Mesa, Héctor; Ortega-Zamorano, Francisco; Juárez, G.E.; Jerez-Aragonés, José Manuel; Turias, Ignacio; Franco, Leonardo[et al.] (2017-06-26)
Scheduling problems are very hard computational tasks with several applications in multitude of domains. In this work we solve a practical problem motivated by a real industry situation, in which we apply a genetic algorithm ...