AIMC Topic: Vocabulary, Controlled

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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...

Interpretive Description in Computerized Ontology Development: Rigour.

Studies in health technology and informatics
This poster presents the use of Interpretive Description in ontology development. The methods selected attended to the need for quality and rigour.

Toward a unified understanding of drug-drug interactions: mapping Japanese drug codes to RxNorm concepts.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Linking information on Japanese pharmaceutical products to global knowledge bases (KBs) would enhance international collaborative research and yield valuable insights. However, public access to mappings of Japanese pharmaceutical products...

A Hybrid AI-Based Method for ICD Classification of Medical Documents.

Studies in health technology and informatics
Automatic document classification is a common problem that has successfully been addressed with machine learning methods. However, these methods require extensive training data, which is not always readily available. Additionally, in privacy-sensitiv...

REDIRECT: Mapping Drug Prescriptions and Evidence from Biomedical Literature.

Studies in health technology and informatics
To enhance their practice, healthcare professionals need to cross-link various usage recommendations provided by heterogeneous vocabularies that must be retrieved and integrated conjointly. This is the aim of the Knowledge Warehouse / K-Ware platform...