4 papers
Natural Language Processing for Electronic Health Records in Scandinavian Languages: Norwegian, Swedish, and Danish
Ashenafi Zebene Woldaregay, Jørgen Aarmo Lund, Phuong Dinh Ngo +8
Background: Clinical natural language processing (NLP) refers to the use of computational methods for extracting, processing, and analyzing unstructured clinical text data, and hol…
Data-Constrained Synthesis of Training Data for De-Identification
Thomas Vakili, Aron Henriksson, Hercules Dalianis
Many sensitive domains -- such as the clinical domain -- lack widely available datasets due to privacy risks. The increasing generative capabilities of large language models (LLMs)…
Artificial intelligence to improve clinical coding practice in Scandinavia: a crossover randomized controlled trial
Taridzo Chomutare, Therese Olsen Svenning, Miguel Ángel Tejedor Hernández +8
\textbf{Trial design} Crossover randomized controlled trial. \textbf{Methods} An AI tool, Easy-ICD, was developed to assist clinical coders and was tested for improving both accura…
Implementing a Nordic-Baltic Federated Health Data Network: a case report
Taridzo Chomutare, Aleksandar Babic, Laura-Maria Peltonen +14
Background: Centralized collection and processing of healthcare data across national borders pose significant challenges, including privacy concerns, data heterogeneity and legal b…