AIMC Topic: Systematized Nomenclature of Medicine
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Introducing the Big Knowledge to Use (BK2U) challenge.
Annals of the New York Academy of Sciences
Oct 17, 2016
The purpose of the Big Data to Knowledge initiative is to develop methods for discovering new knowledge from large amounts of data. However, if the resulting knowledge is so large that it resists comprehension, referred to here as Big Knowledge (BK),...
Drug Interactions
Translational Research, Biomedical
Knowledge Bases
Models, Neurological
Pharmaceutical Preparations
Terminology as Topic
Intracranial Hemorrhages
Decision Making, Computer-Assisted
Data Mining
Image Interpretation, Computer-Assisted
Systematized Nomenclature of Medicine
Humans
Animals
Image Processing, Computer-Assisted
Computational Biology
A unified software framework for deriving, visualizing, and exploring abstraction networks for ontologies.
Journal of biomedical informatics
Jun 23, 2016
Software tools play a critical role in the development and maintenance of biomedical ontologies. One important task that is difficult without software tools is ontology quality assurance. In previous work, we have introduced different kinds of abstra...
OntoCR: A CEN/ISO-13606 clinical repository based on ontologies.
Journal of biomedical informatics
Feb 18, 2016
OBJECTIVE: To design a new semantically interoperable clinical repository, based on ontologies, conforming to CEN/ISO 13606 standard.
Is the crowd better as an assistant or a replacement in ontology engineering? An exploration through the lens of the Gene Ontology.
Journal of biomedical informatics
Feb 10, 2016
Biomedical ontologies contain errors. Crowdsourcing, defined as taking a job traditionally performed by a designated agent and outsourcing it to an undefined large group of people, provides scalable access to humans. Therefore, the crowd has the pote...
Interoperability between phenotypes in research and healthcare terminologies--Investigating partial mappings between HPO and SNOMED CT.
Journal of biomedical semantics
Feb 9, 2016
BACKGROUND: Identifying partial mappings between two terminologies is of special importance when one terminology is finer-grained than the other, as is the case for the Human Phenotype Ontology (HPO), mainly used for research purposes, and SNOMED CT,...
Assessing the Utility of Automatic Cancer Registry Notifications Data Extraction from Free-Text Pathology Reports.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
Cancer Registries record cancer data by reading and interpreting pathology cancer specimen reports. For some Registries this can be a manual process, which is labour and time intensive and subject to errors. A system for automatic extraction of cance...
COHeRE: Cross-Ontology Hierarchical Relation Examination for Ontology Quality Assurance.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
Biomedical ontologies play a vital role in healthcare information management, data integration, and decision support. Ontology quality assurance (OQA) is an indispensable part of the ontology engineering cycle. Most existing OQA methods are based on ...
Medication-indication knowledge bases: a systematic review and critical appraisal.
Journal of the American Medical Informatics Association : JAMIA
Sep 2, 2015
OBJECTIVE: Medication-indication information is a key part of the information needed for providing decision support for and promoting appropriate use of medications. However, this information is not readily available to end users, and a lot of the re...
SNOMED CT in a language isolate: an algorithm for a semiautomatic translation.
BMC medical informatics and decision making
Jun 15, 2015
BACKGROUND: The Systematized Nomenclature of Medicine--Clinical Terms (SNOMED CT) is officially released in English and Spanish. In the Basque Autonomous Community two languages, Spanish and Basque, are official. The first attempt to semi-automatical...
Evaluating semantic similarity and relatedness over the semantic grouping of clinical term pairs.
Journal of biomedical informatics
Dec 15, 2014
INTRODUCTION: This article explores how measures of semantic similarity and relatedness are impacted by the semantic groups to which the concepts they are measuring belong. Our goal is to determine if there are distinctions between homogeneous compar...
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