AIMC Topic: Systematized Nomenclature of Medicine
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Intra-axiom redundancies in SNOMED CT.
Artificial intelligence in medicine
Nov 4, 2014
OBJECTIVE: Intra-axiom redundancies are elements of concept definitions that are redundant as they are entailed by other elements of the concept definition. While such redundancies are harmless from a logical point of view, they make concept definiti...
Evaluating the state of the art in disorder recognition and normalization of the clinical narrative.
Journal of the American Medical Informatics Association : JAMIA
Aug 21, 2014
OBJECTIVE: The ShARe/CLEF eHealth 2013 Evaluation Lab Task 1 was organized to evaluate the state of the art on the clinical text in (i) disorder mention identification/recognition based on Unified Medical Language System (UMLS) definition (Task 1a) a...
Prioritising lexical patterns to increase axiomatisation in biomedical ontologies. The role of localisation and modularity.
Methods of information in medicine
Jul 4, 2014
INTRODUCTION: This article is part of the Focus Theme of METHODS of Information in Medicine on "Managing Interoperability and Complexity in Health Systems".
From Text to Knowledge: An End-To-End Extraction Pipeline for Clinical Information.
Studies in health technology and informatics
Aug 7, 2025
This study explores the use of Large Language Models (LLMs) in extracting and structuring allergic reaction data from non-English clinical free texts. Leveraging open-source models such as Llama 3.1, Qwen 2.5, and Mistral NeMo, the study utilizes 500...
Biomedical text normalization through generative modeling.
Journal of biomedical informatics
Jul 1, 2025
OBJECTIVE: A large proportion of electronic health record (EHR) data consists of unstructured medical language text. The formatting of this text is often flexible and inconsistent, making it challenging to use for predictive modeling, clinical decisi...
From Admission to Discharge: Leveraging NLP for Upstream Primary Coding with SNOMED CT.
Journal of medical systems
May 22, 2025
This study aims to describe implementing a SNOMED CT-coded health problem (HP) list at Hospital Clínic de Barcelona. The project focuses on enhancing the accuracy and efficiency of clinical coding by automating the process from patient admission, whi...
Translating UMLS Concepts to Improve Medical Entity Linking in French: A SapBERT-Based Approach.
Studies in health technology and informatics
May 15, 2025
Medical Entity Linking (MEL) refers to the task of automatically detecting and codifying medical concepts, which is an important preprocessing step for exploiting unstructured medical reports. SapBERT is an efficient MEL method for the English langua...
Smoking Status Normalization with Cross-Encoders and SNOMED CT.
Studies in health technology and informatics
May 15, 2025
Accurately documenting smoking status is essential for clinical decision-making and patient care. However, smoking status information is often only available in clinical narratives. Mapping smoking-related terms to standardized terminologies such as ...
Comparative Analysis of ChatGPT-4 for Automated Mapping of Local Medical Terminologies to SNOMED CT.
Studies in health technology and informatics
May 15, 2025
Standardizing medical terminology is critical for healthcare informatics, particularly for improving data interoperability and patient management systems. This study evaluated four distinct GPT-4-based approaches for mapping local medical terminologi...
Conversion of Nursing Statements into the OMOP Common Data Model.
Studies in health technology and informatics
May 15, 2025
The aim of this study is to convert nursing statements into the OMOP CDM for use in observational studies. We mapped nursing statements to SNOMED CT concepts and converted them into the OMOP CDM format through an ETL process. As a result, approximate...
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