AIMC Topic: Unified Medical Language System

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Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources.

Journal of the American Medical Informatics Association : JAMIA Apr 29, 2015
OBJECTIVE: Analysis of narrative (text) data from electronic health records (EHRs) can improve population-scale phenotyping for clinical and genetic research. Currently, selection of text features for phenotyping algorithms is slow and laborious, req...
Unified Medical Language System Natural Language Processing Information Storage and Retrieval Humans Electronic Health Records Arthritis, Rheumatoid Algorithms
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Identifying named entities from PubMed for enriching semantic categories.

BMC bioinformatics Feb 21, 2015
BACKGROUND: Controlled vocabularies such as the Unified Medical Language System (UMLS) and Medical Subject Headings (MeSH) are widely used for biomedical natural language processing (NLP) tasks. However, the standard terminology in such collections s...
Vocabulary, Controlled Humans Artificial Intelligence Semantics Natural Language Processing Medical Subject Headings PubMed Unified Medical Language System
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Link-topic model for biomedical abbreviation disambiguation.

Journal of biomedical informatics Dec 30, 2014
INTRODUCTION: The ambiguity of biomedical abbreviations is one of the challenges in biomedical text mining systems. In particular, the handling of term variants and abbreviations without nearby definitions is a critical issue. In this study, we adopt...
Support Vector Machine Models, Statistical Natural Language Processing Probability Algorithms Reproducibility of Results Software Linguistics Information Storage and Retrieval Medical Subject Headings MEDLINE Unified Medical Language System
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Evaluating semantic similarity and relatedness over the semantic grouping of clinical term pairs.

Journal of biomedical informatics Dec 15, 2014
INTRODUCTION: This article explores how measures of semantic similarity and relatedness are impacted by the semantic groups to which the concepts they are measuring belong. Our goal is to determine if there are distinctions between homogeneous compar...
Natural Language Processing Semantics Systematized Nomenclature of Medicine Unified Medical Language System Humans
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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...
Disease Vocabulary, Controlled Information Storage and Retrieval Natural Language Processing Humans Biological Ontologies Datasets as Topic Electronic Health Records Systematized Nomenclature of Medicine Unified Medical Language System
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A Neural Embedding Approach to Mapping Health Concepts to Concept Unique Identifiers.

Studies in health technology and informatics Aug 7, 2025
Understanding health concepts in free text is an important task in biomedical NLP. Being able to map the extracted concepts to unique concept identifiers can facilitate integration of and interoperability across biomedical informatics applications. A...
Natural Language Processing Humans COVID-19 Unified Medical Language System Neural Networks, Computer SARS-CoV-2
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Empirical Antonym Implementation in the UMLS SPECIALIST Lexicon.

Studies in health technology and informatics Aug 7, 2025
Antonyms are words that have opposite or contrasting meanings in a specific domain. For example, "increase" is the opposite of "decrease" in the domain of "quantity". Antonyms play an important role in NLP applications to improve performance. This pa...
Semantics Humans Terminology as Topic Natural Language Processing Unified Medical Language System
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Knowledge-enhanced Parameter-efficient Transfer Learning with METER for medical vision-language tasks.

Journal of biomedical informatics Jun 1, 2025
OBJECTIVE: The full fine-tuning paradigm becomes impractical when applying pre-trained models to downstream tasks due to significant computational and storage costs. Parameter-efficient fine-tuning (PEFT) methods can alleviate the issue. However, sol...
Algorithms Humans Medical Informatics Machine Learning Unified Medical Language System
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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...
Systematized Nomenclature of Medicine France Unified Medical Language System Natural Language Processing Medical Record Linkage Translating
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Application of unified health large language model evaluation framework to In-Basket message replies: bridging qualitative and quantitative assessments.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2025
OBJECTIVES: Large language models (LLMs) are increasingly utilized in healthcare, transforming medical practice through advanced language processing capabilities. However, the evaluation of LLMs predominantly relies on human qualitative assessment, w...
Natural Language Processing Unified Medical Language System Humans Artificial Intelligence Large Language Models
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