AIMC Topic: Unified Medical Language System

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Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach.

BMC medical informatics and decision making Dec 1, 2017
BACKGROUND: The medical subdomain of a clinical note, such as cardiology or neurology, is useful content-derived metadata for developing machine learning downstream applications. To classify the medical subdomain of a note accurately, we have constru...
Humans Natural Language Processing Unified Medical Language System Medical Records Machine Learning Clinical Decision-Making
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Towards refactoring the Molecular Function Ontology with a UML profile for function modeling.

Journal of biomedical semantics Oct 4, 2017
BACKGROUND: Gene Ontology (GO) is the largest resource for cataloging gene products. This resource grows steadily and, naturally, this growth raises issues regarding the structure of the ontology. Moreover, modeling and refactoring large ontologies s...
Gene Ontology Information Services Unified Medical Language System Vocabulary, Controlled Models, Theoretical Semantics Humans
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Semantic Modeling for Exposomics with Exploratory Evaluation in Clinical Context.

Journal of healthcare engineering Aug 30, 2017
Exposome is a critical dimension in the precision medicine paradigm. Effective representation of exposomics knowledge is instrumental to melding nongenetic factors into data analytics for clinical research. There is still limited work in (1) modeling...
Unified Medical Language System Iatrogenic Disease Humans Pilot Projects Semantics Biological Ontologies Environmental Exposure
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Word2Vec inversion and traditional text classifiers for phenotyping lupus.

BMC medical informatics and decision making Aug 22, 2017
BACKGROUND: Identifying patients with certain clinical criteria based on manual chart review of doctors' notes is a daunting task given the massive amounts of text notes in the electronic health records (EHR). This task can be automated using text cl...
Algorithms Electronic Health Records Artificial Intelligence Machine Learning Lupus Erythematosus, Systemic Datasets as Topic International Classification of Diseases Natural Language Processing Bayes Theorem Humans Neural Networks, Computer Unified Medical Language System
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Word embeddings and recurrent neural networks based on Long-Short Term Memory nodes in supervised biomedical word sense disambiguation.

Journal of biomedical informatics Aug 7, 2017
Word sense disambiguation helps identifying the proper sense of ambiguous words in text. With large terminologies such as the UMLS Metathesaurus ambiguities appear and highly effective disambiguation methods are required. Supervised learning algorith...
MEDLINE Unified Medical Language System Algorithms Natural Language Processing Neural Networks, Computer
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A passage retrieval method based on probabilistic information retrieval model and UMLS concepts in biomedical question answering.

Journal of biomedical informatics Mar 7, 2017
BACKGROUND AND OBJECTIVE: Passage retrieval, the identification of top-ranked passages that may contain the answer for a given biomedical question, is a crucial component for any biomedical question answering (QA) system. Passage retrieval in open-do...
PubMed Information Storage and Retrieval Unified Medical Language System Models, Statistical Natural Language Processing
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Clinical Natural Language Processing in 2015: Leveraging the Variety of Texts of Clinical Interest.

Yearbook of medical informatics Nov 10, 2016
OBJECTIVE: To summarize recent research and present a selection of the best papers published in 2015 in the field of clinical Natural Language Processing (NLP).
Patient Selection Data Mining Unified Medical Language System Electronic Health Records Natural Language Processing Humans Algorithms
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Can multilinguality improve Biomedical Word Sense Disambiguation?

Journal of biomedical informatics Nov 2, 2016
Ambiguity in the biomedical domain represents a major issue when performing Natural Language Processing tasks over the huge amount of available information in the field. For this reason, Word Sense Disambiguation is critical for achieving accurate sy...
Humans Algorithms Data Mining Unified Medical Language System Natural Language Processing Knowledge Bases
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Mapping Phenotypic Information in Heterogeneous Textual Sources to a Domain-Specific Terminological Resource.

PloS one Sep 19, 2016
Biomedical literature articles and narrative content from Electronic Health Records (EHRs) both constitute rich sources of disease-phenotype information. Phenotype concepts may be mentioned in text in multiple ways, using phrases with a variety of st...
Unified Medical Language System Vocabulary, Controlled Natural Language Processing Pulmonary Embolism Data Mining Semantics Heart Failure Electronic Health Records Narration Humans Phenotype
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Use of "off-the-shelf" information extraction algorithms in clinical informatics: A feasibility study of MetaMap annotation of Italian medical notes.

Journal of biomedical informatics Jul 18, 2016
Information extraction from narrative clinical notes is useful for patient care, as well as for secondary use of medical data, for research or clinical purposes. Many studies focused on information extraction from English clinical texts, but less dea...
Humans Algorithms Feasibility Studies Natural Language Processing Information Storage and Retrieval Italy Unified Medical Language System
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