AIMC Topic: Vocabulary, Controlled

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Learning disease relationships from clinical drug trials.

Journal of the American Medical Informatics Association : JAMIA May 17, 2016
OBJECTIVE: Our objective is to test the limits of the assumption that better learning from data in medicine requires more granular data. We hypothesize that clinical trial metadata contains latent scientific, clinical, and regulatory expert knowledge...
Drug Evaluation Metadata Medical Subject Headings Clinical Trials as Topic Disease Vocabulary, Controlled Drug Therapy Machine Learning Area Under Curve Data Mining Humans
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Learning statistical models of phenotypes using noisy labeled training data.

Journal of the American Medical Informatics Association : JAMIA May 12, 2016
OBJECTIVE: Traditionally, patient groups with a phenotype are selected through rule-based definitions whose creation and validation are time-consuming. Machine learning approaches to electronic phenotyping are limited by the paucity of labeled traini...
Algorithms Phenotype Electronic Health Records Humans Machine Learning Myocardial Infarction Vocabulary, Controlled Medical Informatics Computing Diabetes Mellitus, Type 2 Logistic Models Models, Statistical
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Developing a web-based SKOS editor.

Journal of biomedical semantics Apr 4, 2016
BACKGROUND: The Simple Knowledge Organization System (SKOS) was introduced to the wider research community by a 2005 World Wide Web Consortium (W3C) working draft, and further developed and refined in a 2009 W3C recommendation. Since then, SKOS has b...
Electronic Health Records Natural Language Processing Internet Software Vocabulary, Controlled
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Ontology Alignment Repair through Modularization and Confidence-Based Heuristics.

PloS one Dec 28, 2015
Ontology Matching aims at identifying a set of semantic correspondences, called an alignment, between related ontologies. In recent years, there has been a growing interest in efficient and effective matching methods for large ontologies. However, al...
Vocabulary, Controlled Information Storage and Retrieval Algorithms Semantics Heuristics Biological Ontologies
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Biological Model Development as an Opportunity to Provide Content Auditing for the Foundational Model of Anatomy Ontology.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
Constructing a biological model using an established ontology provides a unique opportunity to perform content auditing on the ontology. We built a Markov chain model to study tumor metastasis in the regional lymphatics of patients with head and neck...
Biological Ontologies Vocabulary, Controlled Anatomy Humans Models, Biological
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Automatic Extraction and Post-coordination of Spatial Relations in Consumer Language.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
To incorporate ontological concepts in natural language processing (NLP) it is often necessary to combine simple concepts into complex concepts (post-coordination). This is especially true in consumer language, where a more limited vocabulary forces ...
Humans Natural Language Processing Unified Medical Language System Vocabulary, Controlled Vocabulary Consumer Health Informatics
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Drug-drug Interaction Discovery Using Abstraction Networks for "National Drug File - Reference Terminology" Chemical Ingredients.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
The National Drug File - Reference Terminology (NDF-RT) is a large and complex drug terminology. NDF-RT provides important information about clinical drugs, e.g., their chemical ingredients, mechanisms of action, dosage form and physiological effects...
Knowledge Bases Humans Vocabulary, Controlled Databases, Factual Drug Interactions
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Scaling-up NLP Pipelines to Process Large Corpora of Clinical Notes.

Methods of information in medicine Nov 4, 2015
INTRODUCTION: This article is part of the Focus Theme of Methods of Information in Medicine on "Big Data and Analytics in Healthcare".
Natural Language Processing Catheter-Related Infections Humans Urinary Tract Infections Urinary Catheterization Prevalence Machine Learning Hospitals, Veterans Decision Support Systems, Clinical Algorithms Vocabulary, Controlled Electronic Health Records Data Mining Risk Assessment Datasets as Topic Utah
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Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance.

PLoS computational biology Oct 29, 2015
We present a machine learning-based methodology capable of providing real-time ("nowcast") and forecast estimates of influenza activity in the US by leveraging data from multiple data sources including: Google searches, Twitter microblogs, nearly rea...
Data Mining Pattern Recognition, Automated Vocabulary, Controlled Natural Language Processing Influenza, Human Seasons Search Engine Database Management Systems Databases, Factual Risk Assessment Prevalence United States Population Surveillance Social Media Humans Machine Learning
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Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks.

Journal of biomedical informatics Oct 24, 2015
Vocabulary, Controlled Terminology as Topic Medical Record Linkage Electronic Health Records Biomedical Research Narration Natural Language Processing Information Storage and Retrieval Pattern Recognition, Automated Machine Learning
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