AIMC Topic: Terminology as Topic

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Assessing the enrichment of dietary supplement coverage in the Unified Medical Language System.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2020
OBJECTIVE: We sought to assess the need for additional coverage of dietary supplements (DS) in the Unified Medical Language System (UMLS) by investigating (1) the overlap between the integrated DIetary Supplements Knowledge base (iDISK) DS ingredient...
Terminology as Topic Unified Medical Language System Dietary Supplements Natural Language Processing Knowledge Bases
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A transformation-based method for auditing the IS-A hierarchy of biomedical terminologies in the Unified Medical Language System.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2020
OBJECTIVE: The Unified Medical Language System (UMLS) integrates various source terminologies to support interoperability between biomedical information systems. In this article, we introduce a novel transformation-based auditing method that leverage...
Language Quality Improvement Unified Medical Language System Gene Ontology Systematized Nomenclature of Medicine Terminology as Topic
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A graph-based method for reconstructing entities from coordination ellipsis in medical text.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2020
OBJECTIVE: Coordination ellipsis is a linguistic phenomenon abound in medical text and is challenging for concept normalization because of difficulty in recognizing elliptical expressions referencing 2 or more entities accurately. To resolve this bot...
Linguistics Natural Language Processing Terminology as Topic Computational Biology
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Classification Techniques for Cardio-Vascular Diseases Using Supervised Machine Learning.

Medical archives (Sarajevo, Bosnia and Herzegovina) Feb 1, 2020
INTRODUCTION: The World Health Organization has estimated that 12 million deaths occur worldwide, every year due to Heart diseases. Half the deaths in the developed countries are due to cardiovascular diseases. The early prognosis of cardiovascular d...
Adult Male Aged Aged, 80 and over Supervised Machine Learning Terminology as Topic Cardiovascular Diseases Middle Aged Diagnostic Techniques, Cardiovascular Humans Female
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[Machine learning in radiology : Terminology from individual timepoint to trajectory].

Der Radiologe Jan 1, 2020
METHODICAL ISSUE: Machine learning (ML) algorithms have an increasingly relevant role in radiology tackling tasks such as the automatic detection and segmentation of diagnosis-relevant markers, the quantification of progression and response, and thei...
Terminology as Topic Algorithms Humans Radiology Machine Learning
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Adverse drug event and medication extraction in electronic health records via a cascading architecture with different sequence labeling models and word embeddings.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: An adverse drug event (ADE) refers to an injury resulting from medical intervention related to a drug including harm caused by drugs or from the usage of drugs. Extracting ADEs from clinical records can help physicians associate adverse ev...
Information Storage and Retrieval Terminology as Topic Natural Language Processing Drug-Related Side Effects and Adverse Reactions Electronic Health Records Narration Humans Neural Networks, Computer Algorithms
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What is Machine Learning? A Primer for the Epidemiologist.

American journal of epidemiology Dec 31, 2019
Machine learning is a branch of computer science that has the potential to transform epidemiologic sciences. Amid a growing focus on "Big Data," it offers epidemiologists new tools to tackle problems for which classical methods are not well-suited. I...
Terminology as Topic Machine Learning Epidemiology Epidemiologic Studies
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Neural machine translation of clinical texts between long distance languages.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: To analyze techniques for machine translation of electronic health records (EHRs) between long distance languages, using Basque and Spanish as a reference. We studied distinct configurations of neural machine translation systems and used d...
Systematized Nomenclature of Medicine Terminology as Topic Spain Translating Electronic Health Records Natural Language Processing Humans Neural Networks, Computer
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Radiomics - Using Artificial Intelligence in the Quest towards Personalised Radiation Treatment.

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP Feb 1, 2019
Terminology as Topic Forecasting Humans Radiography, Interventional Precision Medicine Artificial Intelligence
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Automatic Normalization of Anatomical Phrases in Radiology Reports Using Unsupervised Learning.

Journal of digital imaging Feb 1, 2019
In today's radiology workflow, free-text reporting is established as the most common medium to capture, store, and communicate clinical information. Radiologists routinely refer to prior radiology reports of a patient to recall critical information f...
Workflow Terminology as Topic Unsupervised Machine Learning Radiology Humans Electronic Health Records
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