Pmc-patients: A large-scale dataset of patient summaries and relations for benchmarking retrieval-based clinical decision support systems
Objective: Retrieval-based Clinical Decision Support (ReCDS) can aid clinical workflow by
providing relevant literature and similar patients for a given patient. However, the …
providing relevant literature and similar patients for a given patient. However, the …
Assessment of the E3C corpus for the recognition of disorders in clinical texts
Disorder named entity recognition (DNER) is a fundamental task of biomedical natural
language processing, which has attracted plenty of attention. This task consists in extracting …
language processing, which has attracted plenty of attention. This task consists in extracting …
Entity normalization in a Spanish medical corpus using a UMLS-based lexicon: findings and limitations
Entity normalization is a common strategy to resolve ambiguities by mapping all the
synonym mentions to a single concept identifier in standard terminology. Normalizing …
synonym mentions to a single concept identifier in standard terminology. Normalizing …
Few shot clinical entity recognition in three languages: Masked language models outperform LLM prompting
Large Language Models are becoming the go-to solution for many natural language
processing tasks, including in specialized domains where their few-shot capacities are …
processing tasks, including in specialized domains where their few-shot capacities are …
Combining Contrastive Learning and Knowledge Graph Embeddings to develop medical word embeddings for the Italian language
Word embeddings play a significant role in today's Natural Language Processing tasks and
applications. However, there is a significant gap in the availability of high quality-word …
applications. However, there is a significant gap in the availability of high quality-word …
Get the Best out of 1B LLMs: Insights from Information Extraction on Clinical Documents
While the popularity of large, versatile language models like ChatGPT continues to rise, the
landscape shifts when considering open-source models tailored to specific domains …
landscape shifts when considering open-source models tailored to specific domains …
Reconnaissance d'entités cliniques en few-shot en trois langues
Les grands modèles de langage deviennent la solution de choix pour de nombreuses
tâches de traitement du langage naturel, y compris dans des domaines spécialisés où leurs …
tâches de traitement du langage naturel, y compris dans des domaines spécialisés où leurs …
[PDF][PDF] Automatic Medical Knowledge Graph Construction
J Pardo–Ferrera - 2024 - ceur-ws.org
Abstract Knowledge Graphs are crucial for structuring and integrating large amounts of data,
improving decisionmaking and data interoperability, especially in the healthcare domain …
improving decisionmaking and data interoperability, especially in the healthcare domain …
Stratégies d'apprentissage actif pour la reconnaissance d'entités nommées en français
L'annotation manuelle de corpus est un processus coûteux et lent, notamment pour la tâche
de re-connaissance d'entités nommées. L'apprentissage actif vise à rendre ce processus …
de re-connaissance d'entités nommées. L'apprentissage actif vise à rendre ce processus …
Graph Neural Network pipeline for unsupervised clinical document analysis
G Moro - 2023 - politesi.polimi.it
Most clinical documents are present in the form of unstructured data ie textual data.
However, in order to apply automatic learning methods of the content, it is necessary to …
However, in order to apply automatic learning methods of the content, it is necessary to …