AIMC Topic: Terminology as Topic

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A NLP Pipeline for the Automatic Extraction of Microorganisms Names from Microbiological Notes.

Studies in health technology and informatics Oct 27, 2021
According to the "Istituto Superiore di Sanita'" (ISS), hospital infections are the most frequent and serious complication of health care. This constitutes a real health emergency which requires incisive and joint action at all levels of the local an...
Delivery of Health Care Fungi Terminology as Topic Viruses Electronic Health Records Bacteria Natural Language Processing
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The Human Phenotype Ontology in 2021.

Nucleic acids research Jan 8, 2021
The Human Phenotype Ontology (HPO, https://hpo.jax.org) was launched in 2008 to provide a comprehensive logical standard to describe and computationally analyze phenotypic abnormalities found in human disease. The HPO is now a worldwide standard for ...
Humans Software International Cooperation Genome Terminology as Topic Disease Genotype Infant, Newborn Internet Computational Biology Phenotype Biological Ontologies Animals Disease Models, Animal Databases, Factual Neonatal Screening Pharmacogenetics
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PheMap: a multi-resource knowledge base for high-throughput phenotyping within electronic health records.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2020
OBJECTIVE: Developing algorithms to extract phenotypes from electronic health records (EHRs) can be challenging and time-consuming. We developed PheMap, a high-throughput phenotyping approach that leverages multiple independent, online resources to s...
Diabetes Mellitus, Type 2 Polymorphism, Single Nucleotide Hypothyroidism Dementia Genome-Wide Association Study Terminology as Topic Natural Language Processing Knowledge Bases Information Storage and Retrieval Humans Algorithms Phenotype Electronic Health Records Adult
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Use of word and graph embedding to measure semantic relatedness between Unified Medical Language System concepts.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2020
OBJECTIVE: The study sought to explore the use of deep learning techniques to measure the semantic relatedness between Unified Medical Language System (UMLS) concepts.
Deep Learning ROC Curve Medical Subject Headings Terminology as Topic Unified Medical Language System Natural Language Processing Semantics
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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...
Dietary Supplements Natural Language Processing Knowledge Bases Terminology as Topic Unified Medical Language System
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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...
Terminology as Topic Unified Medical Language System Gene Ontology Quality Improvement Systematized Nomenclature of Medicine Language
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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...
Natural Language Processing Terminology as Topic Linguistics 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...
Terminology as Topic Diagnostic Techniques, Cardiovascular Middle Aged Supervised Machine Learning Humans Adult Female Male Cardiovascular Diseases Aged Aged, 80 and over
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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...
Algorithms Radiology Humans Terminology as Topic 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 Humans Drug-Related Side Effects and Adverse Reactions Algorithms Neural Networks, Computer Electronic Health Records Narration
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