| Structural networks involved in attention and executive functions in multiple sclerosis S Llufriu, E Martinez-Heras, E Solana, N Sola-Valls, M Sepulveda, ... NeuroImage: Clinical 13, 288-296, 2017 | 112 | 2017 |
| Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS K Kostka, T Duarte-Salles, A Prats-Uribe, AG Sena, A Pistillo, S Khalid, ... Clinical Epidemiology, 369-384, 2022 | 27 | 2022 |
| Teleconsultations between patients and healthcare professionals in primary care in Catalonia: the evaluation of text classification algorithms using supervised machine learning F López Seguí, R Ander Egg Aguilar, G de Maeztu, A García-Altés, ... International journal of environmental research and public health 17 (3), 1093, 2020 | 19 | 2020 |
| Characteristics and outcomes of patients with COVID-19 with and without prevalent hypertension: a multinational cohort study C Reyes, A Pistillo, S Fernández-Bertolín, M Recalde, E Roel, D Puente, ... BMJ open 11 (12), e057632, 2021 | 18 | 2021 |
| An open source corpus and automatic tool for section identification in Spanish health records I de la Iglesia, M Vivó, P Chocrón, G de Maeztu, K Gojenola, A Atutxa Journal of Biomedical Informatics 145, 104461, 2023 | 7 | 2023 |
| Overview of ClinAIS at IberLEF 2023: Automatic Identification of Sections in Clinical Documents in Spanish I De la Iglesia, M Vivó, P Chocrón, G de Maeztu, K Gojenola, A Atutxa Procesamiento del Lenguaje Natural 71, 289-299, 2023 | 6 | 2023 |
| Artificial intelligence: a new field of knowledge for nephrologists? L Fayos De Arizón, ER Viera, M Pilco, A Perera, G De Maeztu, A Nicolau, ... Clinical Kidney Journal 16 (12), 2314-2326, 2023 | 2 | 2023 |
| ContextMEL: Classifying Contextual Modifiers in Clinical Text P Chocrón, A Abella, G Maeztu Sociedad Española para el Procesamiento del Lenguaje Natural, 2020 | 2 | 2020 |
| A Framework for False Negative Detection in NER/NEL M Quijada, M Vivó, Á Abella-Bascarán, P Chocrón, G Maeztu International Conference on Applications of Natural Language to Information …, 2022 | 1 | 2022 |
| Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS (preprint) D Prieto-Alhambra, K Kostka, T Duarte-Salles, A Prats-Uribe, A Sena, ... | 1 | 2021 |
| The DERMACLEAR study: Verification results of a natural language processing system in dermatology FJ Ortiz de Frutos, AM Giménez‐Arnau, L Puig, JF Silvestre, E Serra, ... JEADV Clinical Practice 2 (4), 775-785, 2023 | | 2023 |
| Resumen de la tarea de ClinAIS en IberLEF 2023: Identificación Automática de Secciones en Documentos Clínicos en Castellano KG Galletebeitia, AA Salazar, I De la Iglesia, M Vivó, PD Chocron, ... Procesamiento del lenguaje natural, 289-299, 2023 | | 2023 |
| Procesamiento del Lenguaje Natural. N. 65 (2020) P del Lenguaje Natural Sociedad Española para el Procesamiento del Lenguaje Natural, 2020 | | 2020 |
Koldo GojenolaResearcher and Teacher of Computer Science, University of the Basque Country UPV/EHUVerified email at ehu.es
