Seguir
Fabián Villena Rodríguez
Fabián Villena Rodríguez
Instituto Milenio Fundamentos de los Datos, Chile
Dirección de correo verificada de imfd.cl - Página principal
Título
Citado por
Citado por
Año
The Chilean Waiting List Corpus: a new resource for clinical named entity recognition in Spanish
P Báez, F Villena, M Rojas, M Durán, J Dunstan
Proceedings of the 3rd clinical natural language processing workshop, 291-300, 2020
342020
Automatic extraction of nested entities in clinical referrals in Spanish
P Báez, F Bravo-Marquez, J Dunstan, M Rojas, F Villena
ACM Transactions on Computing for Healthcare (HEALTH) 3 (3), 1-22, 2022
192022
Clinical flair: A pre-trained language model for Spanish clinical natural language processing
M Rojas, J Dunstan, F Villena
Proceedings of the 4th Clinical Natural Language Processing Workshop, 87-92, 2022
182022
Automatic keyword retrieval from clinical texts: an application of natural language processing to massive data of Chilean suspected diagnosis
F Villena, J Dunstan
Revista Medica de Chile 147 (10), 1229-1238, 2019
12*2019
Supporting the classification of patients in public hospitals in Chile by designing, deploying and validating a system based on natural language processing
F Villena, J Pérez, R Lagos, J Dunstan
BMC Medical Informatics and Decision Making 21 (1), 1-11, 2021
102021
The incidence of psoriasis in Chile: an analysis of the National Waiting List Repository
C Lecaros, J Dunstan, F Villena, DM Ashcroft, R Parisi, CEM Griffiths, ...
Clinical and Experimental Dermatology 46 (7), 1262-1269, 2021
102021
Restauración Directa con Técnica de Estampado Simplificada en Resina Compuesta: Caso Clínico
S Sánchez, F Villena
Revista Anaceo 2 (1), 18-20, 2016
9*2016
Predicting no-show appointments in a pediatric hospital in Chile using machine learning
J Dunstan, F Villena, JP Hoyos, V Riquelme, M Royer, H Ramírez, ...
Health Care Management Science 26 (2), 313-329, 2023
72023
Construction of text resources for automatic identification of clinical information in unstructured narratives
P Báez, F Villena, K Zúñiga, N Jones, G Fernández, M Durán, J Dunstan
Revista Médica de Chile 149 (7), 2021
7*2021
Aplicaciones de aprendizaje automático en salud
C Aracena, F Villena, F Arias, J Dunstan
Revista Médica Clínica Las Condes 33 (6), 568-575, 2022
62022
A knowledge-graph-based intrinsic test for benchmarking medical concept embeddings and pretrained language models
C Aracena, F Villena, M Rojas, J Dunstan
Proceedings of the 13th International Workshop on Health Text Mining and …, 2022
52022
On the construction of multilingual corpora for clinical text mining
F Villena, U Eisenmann, P Knaup, J Dunstan, M Ganzinger
Studies in Health Technology and Informatics 270, 2020
52020
Training and intrinsic evaluation of lightweight word embeddings for the clinical domain in Spanish
C Chiu, F Villena, K Martin, F Núñez, C Besa, J Dunstan
Frontiers in Artificial Intelligence 5, 970517, 2022
22022
Automatic support system for tumor coding in pathology reports in Spanish
F Villena, P Báez, S Peñafiel, M Rojas, I Paredes, J Dunstan
Available at SSRN 3982259, 2021
22021
A pseudonymized corpus of occupational health narratives for clinical entity recognition in Spanish
J Dunstan, T Vakili, L Miranda, F Villena, C Aracena, P Vera, ...
2024
A transcription and information extraction system to facilitate EHR documentation in Spanish
M Fernández, F Villena, M Rojas, F Núñez, JF Silva, J Dunstan
2023
Automatic Coding at Scale: Design and Deployment of a Nationwide System for Normalizing Referrals in the Chilean Public Healthcare System
F Villena, M Rojas, F Arias, J Pacheco, P Vera, J Dunstan
arXiv preprint arXiv:2307.05560, 2023
2023
LaboRecommender: A crazy-easy to use Python-based recommender system for laboratory tests
F Villena
arXiv preprint arXiv:2105.01209, 2021
2021
Fabricación de biomodelos tridimensionales odontológicos a partir de tomografías computarizadas
F Villena, S Sánchez
Mouth 2 (1), e07102017es, 2017
2017
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–19