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DESCRIPTION:Click for Latest Location Information: http://semtechbizsf2012.semanticweb.com/sessionPop.cfm?confid=65&proposalid=4621\nThe recent advances in genomic science has led to the emergence of a transdiscipline field called ?Phenomics? that aims to capitalize on high-throughput computation and informatics technologies for systematic studying of phenotypes and their influence personal genomics. Several phenomics studies in the recent past have demonstrated the power of positively correlating phenotypes with several measures of gene functions, although research in phenomics is presented with various challenges, including (i) developing approaches for high-throughput extraction and representation of phenotypes from Electronic Medical Records (EMRs) using standardized biomedical ontologies and metadata, (ii) building techniques for storing, integrating, and querying phenotype data, and (iii) advancing phenotypic-driven analysis to derive gene-disease, gene-drug, and gene-environment associations. To address these requirements, the Linked Clinical Data (LCD) project at Mayo Clinic aims to investigate emerging Semantic Web technologies and Linked Data principles for developing a semantics-driven framework to high-throughput phenotyping using EMRs to analyze multi-factorial phenotypes.\nThe proposed presentation will introduce the LCD project whose main gols are to:\n? Investigate ontology-based techniques for representing and encoding phenotype data derived from the EMR\n? Develop a framework for publishing and integrating ontology-encoded structured phenotype data for federated querying using Linked Data principles and technologies\n? Propose and validate semantic reasoning techniques to support rapid cohort identification in chronic diseases, such as diabetes mellitus
DTSTART:20120606T080000
SUMMARY:Applying Semantic Web Technologies for Clinical and Translational Research using Electronic Medical Records
DTEND:20120606T082959
LOCATION: See Description
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