TY - GEN
T1 - The Linked Clinical Data project
T2 - 4th Semantic Web Applications and Tools for the Life Sciences, SWAT4LS 2011
AU - Pathak, Jyotishman
AU - Kiefer, Richard C.
AU - Chute, Christopher G.
PY - 2012
Y1 - 2012
N2 - Systematic study of clinical phenotypes is important to better understand the genetic basis of human diseases and more effective gene-based disease management. The Linked Clinical Data (LCD) project at Mayo Clinic aims to develop a semantics-driven framework for high-throughput phenotype extraction, representation, integration, and querying from electronic medical records using emerging Semantic Web technologies, such as Linked Open Data. This poster abstract provides a brief background and overview of the recently initiated LCD project.
AB - Systematic study of clinical phenotypes is important to better understand the genetic basis of human diseases and more effective gene-based disease management. The Linked Clinical Data (LCD) project at Mayo Clinic aims to develop a semantics-driven framework for high-throughput phenotype extraction, representation, integration, and querying from electronic medical records using emerging Semantic Web technologies, such as Linked Open Data. This poster abstract provides a brief background and overview of the recently initiated LCD project.
KW - Diabetes mellitus
KW - Genome-wide association studies
KW - Genotype-phenotype associations
KW - Linked Open Data
UR - http://www.scopus.com/inward/record.url?scp=84859920314&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84859920314&partnerID=8YFLogxK
U2 - 10.1145/2166896.2166920
DO - 10.1145/2166896.2166920
M3 - Conference contribution
AN - SCOPUS:84859920314
SN - 9781450310765
T3 - ACM International Conference Proceeding Series
SP - 94
EP - 95
BT - 4th International Workshop on Semantic Web Applications and Tools for the Life Sciences, SWAT4LS 2011
Y2 - 7 December 2011 through 9 December 2011
ER -