A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine

Autor: Leonardo Campillos-Llanos, Ana Valverde-Mateos, Adrián Capllonch-Carrión, Antonio Moreno-Sandoval

Publikováno v: BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-19 (2021)

Abstract Background The large volume of medical literature makes it difficult for healthcare professionals to keep abreast of the latest studies that support Evidence-Based Medicine. Natural language processing enhances the access to relevant informa

Externí odkaz: https://doaj.org/article/23ec51d897d64bcd879152e951fea49c

Biomedical Term Extraction: NLP Techniques in Computational Medicine

Autor: Antonio Moreno Sandoval, Julia Díaz, Leonardo Campillos Llanos, Teófilo Redondo

Publikováno v: International Journal of Interactive Multimedia and Artificial Intelligence, Vol 5, Iss 4, Pp 51-59 (2019)

Artificial Intelligence (AI) and its branch Natural Language Processing (NLP) in particular are main contributors to recent advances in classifying documentation and extracting information from assorted fields, Medicine being one that has gathered a

Externí odkaz: https://doaj.org/article/5b1619f37ba048ec9787446c99b02e6a

Las preposiciones en el habla no nativa de nivel intermedio: análisis de la interlengua basado en corpus

Autor: Leonardo Campillos Llanos

Publikováno v: Revista Nebrija de Linguistica Aplicada a la Enseñanza de Lenguas, Vol 8, Iss 16 (2014)

Se analizan la producción y los errores relacionados con las preposiciones en la producción oral de cuarenta aprendices de español, que se compara con el habla de cuatro nativos (grupo de control). Los datos pertenecen a un corpus de interlengua c

Externí odkaz: https://doaj.org/article/73c94712913e4396a88d1f4ea5f78dfa

Lessons Learned from the Usability Evaluation of a Simulated Patient Dialogue System

Autor: Catherine Thomas, Leonardo Campillos-Llanos, Pierre Zweigenbaum, Sophie Rosset, Antoine Neuraz, Eric Bilinski

Publikováno v: Digital.CSIC. Repositorio Institucional del CSIC
instname
Journal of Medical Systems
Journal of Medical Systems, Springer Verlag (Germany), 2021, 45 (7), ⟨10.1007/s10916-021-01737-4⟩
Journal of Medical Systems, 2021, 45 (7), pp.69. ⟨10.1007/s10916-021-01737-4⟩
Journal of Medical Systems, 2021, 45 (7), ⟨10.1007/s10916-021-01737-4⟩
Digital.CSIC: Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)

International audience; Simulated consultations through virtual patients allow medical students to practice history-taking skills. Ideally, applications should provide interactions in natural language and be multi-case, multi-specialty. Nevertheless,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5d81d3b7aa89a64dc6519b05e21fb9c
http://hdl.handle.net/10261/243697

Recursos lingüísticos y terminológicos para desarrollar un sistema de diálogo con un paciente virtual en español

Autor: Leonardo Campillos Llanos, Catherine Thomas, Eric Bilinski, Pierre Zweigenbaum, Sophie Rosset

Publikováno v: Spanish Conference for Natural Language Processing (Sociedad Española para el Procesamiento del Lenguaje Natural)
Spanish Conference for Natural Language Processing (Sociedad Española para el Procesamiento del Lenguaje Natural), Sep 2019, Bilbao, Spain
HAL
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)

This article reports the terminology and language resources used to develop a dialogue system for the medical domain in Spanish. The system simulates the medical history-taking step with a virtual patient, and is aimed mainly at medical students, who

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::dacba2c5989d703fc80c0427e78b3bc3
https://hal.archives-ouvertes.fr/hal-02358022