4 citations · 4 across the 2 of their papers we have counts for
4 papers
Multilingual Artificial Datasets for AI-Driven Cardiology: the CliTe and ParaCliTe corpora
Lorenzo Pratesi, Eulalia Farre-Maduell, Machteld Boonstra +21
Background and Aims. Comparable, multilingual, validated cardiology corpora are critical to advance trustworthy natural language processing (NLP) models for cardiology but such res…
CardioLM: A multilingual suite of small language models for the cardiology domain
Manuela-Daniela Danu, Miguel Rodríguez-Ortega, Alberto Becerra-Tome +37
Background: Cardiovascular care generates large volumes of clinical free-text documentation in local languages. However, clinical natural language processing (NLP) resources remain…
Automatic Cardiac Risk Management Classification using large-context Electronic Patients Health Records
Jacopo Vitale, David Della Morte, Luca Bacco +5
To overcome the limitations of manual administrative coding in geriatric Cardiovascular Risk Management, this study introduces an automated classification framework leveraging unst…
Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods
Bram van Es, Leon C. Reteig, Sander C. Tan +5
As structured data are often insufficient, labels need to be extracted from free text in electronic health records when developing models for clinical information retrieval and dec…