Fabián Villena

According to our database, Fabián Villena authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A pseudonymized corpus of occupational health narratives for clinical entity recognition in Spanish.

Jocelyn Dunstan, Thomas Vakili, Luis Miranda, Fabián Villena, Claudio Aracena, Tamara Quiroga, Paulina Vera, Sebastián Viteri Valenzuela, Victor Rocco

BMC Medical Informatics Decis. Mak., December, 2024

Dental Digital Scribe Dataset.

Fabián Villena

Dataset, June, 2024

Generative artificial intelligence in dentistry: Current approaches and future challenges.

Fabián Villena, Claudia Véliz, Rosario García-Huidobro, Sebastián Aguayo

CoRR, 2024

llmNER: (Zero|Few)-Shot Named Entity Recognition, Exploiting the Power of Large Language Models.

Fabián Villena, Luis Miranda, Claudio Aracena

CoRR, 2024

A Privacy-Preserving Corpus for Occupational Health in Spanish: Evaluation for NER and Classification Tasks.

Claudio Aracena, Luis Miranda, Thomas Vakili, Fabián Villena, Tamara Quiroga, Fredy Núñez-Torres, Victor Rocco, Jocelyn Dunstan

Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023

Automatic Coding at Scale: Design and Deployment of a Nationwide System for Normalizing Referrals in the Chilean Public Healthcare System.

Fabián Villena, Matías Rojas, Felipe Arias, Jorge Pacheco, Paulina Vera, Jocelyn Dunstan

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

Automatic Extraction of Nested Entities in Clinical Referrals in Spanish.

Pablo Báez, Felipe Bravo-Marquez, Jocelyn Dunstan, Matías Rojas, Fabián Villena

ACM Trans. Comput. Heal., 2022

Training and intrinsic evaluation of lightweight word embeddings for the clinical domain in Spanish.

Carolina Chiu, Fabián Villena, Kinan Martin, Fredy Núñez, Cecilia Besa, Jocelyn Dunstan

Frontiers Artif. Intell., 2022

A Knowledge-Graph-Based Intrinsic Test for Benchmarking Medical Concept Embeddings and Pretrained Language Models.

Claudio Aracena, Fabián Villena, Matías Rojas, Jocelyn Dunstan

Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis, 2022

2021

Correction to: Supporting the classification of patients in public hospitals in Chile by designing, deploying and validating a system based on natural language processing.

Fabián Villena, Jorge Pérez, René Lagos, Jocelyn Dunstan

BMC Medical Informatics Decis. Mak., 2021

Supporting the classification of patients in public hospitals in Chile by designing, deploying and validating a system based on natural language processing.

Jocelyn Dunstan, Fabián Villena, Jorge Pérez, René Lagos

BMC Medical Informatics Decis. Mak., 2021

LaboRecommender: A crazy-easy to use Python-based recommender system for laboratory tests.

Fabián Villena

CoRR, 2021

2020

On the Construction of Multilingual Corpora for Clinical Text Mining.

Fabián Villena, Urs Eisenmann, Petra Knaup, Jocelyn Dunstan, Matthias Ganzinger

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

The Chilean Waiting List Corpus: a new resource for clinical Named Entity Recognition in Spanish.

Pablo Báez, Fabián Villena, Matías Rojas, Manuel Durán, Jocelyn Dunstan

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020