AIMC Topic: Unified Medical Language System

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Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 29, 2023
Previous work on clinical relation extraction from free-text sentences leveraged information about semantic types from clinical knowledge bases as a part of entity representations. In this paper, we exploit additional evidence by also making use of ....
Semantics Unified Medical Language System Humans Knowledge Bases Reproducibility of Results Datasets as Topic Natural Language Processing Sample Size
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MedLexSp - a medical lexicon for Spanish medical natural language processing.

Journal of biomedical semantics Feb 2, 2023
BACKGROUND: Medical lexicons enable the natural language processing (NLP) of health texts. Lexicons gather terms and concepts from thesauri and ontologies, and linguistic data for part-of-speech (PoS) tagging, lemmatization or natural language genera...
COVID-19 Language Humans Unified Medical Language System Vocabulary, Controlled Natural Language Processing Semantics
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Performance assessment of ontology matching systems for FAIR data.

Journal of biomedical semantics Jul 15, 2022
BACKGROUND: Ontology matching should contribute to the interoperability aspect of FAIR data (Findable, Accessible, Interoperable, and Reusable). Multiple data sources can use different ontologies for annotating their data and, thus, creating the need...
Consensus Information Storage and Retrieval Ecosystem Unified Medical Language System Systematized Nomenclature of Medicine Biological Ontologies
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Classifying the lifestyle status for Alzheimer's disease from clinical notes using deep learning with weak supervision.

BMC medical informatics and decision making Jul 7, 2022
BACKGROUND: Since no effective therapies exist for Alzheimer's disease (AD), prevention has become more critical through lifestyle status changes and interventions. Analyzing electronic health records (EHRs) of patients with AD can help us better und...
Life Style Deep Learning Natural Language Processing Alzheimer Disease Humans Unified Medical Language System
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Discovering novel drug-supplement interactions using SuppKG generated from the biomedical literature.

Journal of biomedical informatics Jun 13, 2022
OBJECTIVE: Develop a novel methodology to create a comprehensive knowledge graph (SuppKG) to represent a domain with limited coverage in the Unified Medical Language System (UMLS), specifically dietary supplement (DS) information for discovering drug...
Dietary Supplements PubMed Natural Language Processing Semantics Unified Medical Language System
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A vector-based semantic relatedness measure using multiple relations within SNOMED CT and UMLS.

Journal of biomedical informatics Jun 9, 2022
OBJECTIVE: To propose a new vector-based relatedness metric that derives word vectors from the intrinsic structure of biomedical ontologies, without consulting external resources such as large-scale biomedical corpora.
Systematized Nomenclature of Medicine Biological Ontologies Natural Language Processing Semantics Unified Medical Language System Humans
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Multilabel classification of medical concepts for patient clinical profile identification.

Artificial intelligence in medicine Apr 26, 2022
BACKGROUND: The development of electronic health records has provided a large volume of unstructured biomedical information. Extracting patient characteristics from these data has become a major challenge, especially in languages other than English.
Multilingualism Humans Language Data Mining Natural Language Processing Unified Medical Language System
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CODER: Knowledge-infused cross-lingual medical term embedding for term normalization.

Journal of biomedical informatics Jan 4, 2022
OBJECTIVE: This paper aims to propose knowledge-aware embedding, a critical tool for medical term normalization.
Machine Learning Language Unified Medical Language System Natural Language Processing Semantics
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Subcategorizing EHR diagnosis codes to improve clinical application of machine learning models.

International journal of medical informatics Sep 21, 2021
BACKGROUND: Electronic health record (EHR) data is commonly used for secondary purposes such as research and clinical decision support. However, reuse of EHR data presents several challenges including but not limited to identifying all diagnoses asso...
Electronic Health Records Comorbidity Humans Machine Learning Information Storage and Retrieval Unified Medical Language System
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Knowledge Representation and Management: Interest in New Solutions for Ontology Curation.

Yearbook of medical informatics Sep 3, 2021
OBJECTIVE: To select, present and summarize some of the best papers in the field of Knowledge Representation and Management (KRM) published in 2020.
Biological Ontologies Unified Medical Language System Genomics Humans Health Information Interoperability Medical Informatics Knowledge Management
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