AIMC Topic: Vocabulary, Controlled

Clear Filters Showing 121 to 130 of 199 articles

German Medical NER with BERT and LLMs: The Impact of Training Data Size.

Studies in health technology and informatics
Named Entity Recognition (NER) in the medical domain often presents significant challenges due to the complexity and specificity of medical terminology, especially in lower-resource settings where annotated data is scarce. This study explores the per...

Identifying Symptom Information in Clinical Notes Using Natural Language Processing.

Nursing research
BACKGROUND: Symptoms are a core concept of nursing interest. Large-scale secondary data reuse of notes in electronic health records (EHRs) has the potential to increase the quantity and quality of symptom research. However, the symptom language used ...

Annotating publicly-available samples and studies using interpretable modeling of unstructured metadata.

Briefings in bioinformatics
Reusing massive collections of publicly available biomedical data can significantly impact knowledge discovery. However, these public samples and studies are typically described using unstructured plain text, hindering the findability and further reu...

Building a Natural Language Interface for FHIR Clinical Terminology Server.

Studies in health technology and informatics
While Fast Healthcare Interoperability Resources (FHIR) clinical terminology server enables quick and easy search and retrieval of coded medical data, it still has some drawbacks. When searching, any typographical errors, variations in word forms, or...

Fine-tuning large language models for rare disease concept normalization.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: We aim to develop a novel method for rare disease concept normalization by fine-tuning Llama 2, an open-source large language model (LLM), using a domain-specific corpus sourced from the Human Phenotype Ontology (HPO).

RT: a Retrieving and Chain-of-Thought framework for few-shot medical named entity recognition.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: This article aims to enhance the performance of larger language models (LLMs) on the few-shot biomedical named entity recognition (NER) task by developing a simple and effective method called Retrieving and Chain-of-Thought (RT) framework...

Term Candidate Generation to Enrich Clinical Terminologies with Large Language Models.

Studies in health technology and informatics
Annotated language resources derived from clinical routine documentation form an intriguing asset for secondary use case scenarios. In this investigation, we report on how such a resource can be leveraged to identify additional term candidates for a ...

Beyond Tokens: Fair Evaluation of French Large Language Models for Clinical Named Entity Recognition.

Studies in health technology and informatics
Named Entity Recognition (NER) models based on Transformers have gained prominence for their impressive performance in various languages and domains. This work delves into the often-overlooked aspect of entity-level metrics and exposes significant di...

Active Learning Pipeline to Identify Candidate Terms for a CDSS Ontology.

Studies in health technology and informatics
Ontology is essential for achieving health information and information technology application interoperability in the biomedical fields and beyond. Traditionally, ontology construction is carried out manually by human domain experts (HDE). Here, we e...

Knowledge Base Prototype Creating with Using Interdisciplinary Metathesaurus.

Studies in health technology and informatics
This article presents our experience in development an ontological model can be used in clinical decision support systems (CDSS) creating. We have used the largest international biomedical terminological metathesaurus the Unified Medical Language Sys...