Graph-based signal integration for high-throughput phenotyping.
Ontology highlight
ABSTRACT:
SUBMITTER: Herskovic JR
PROVIDER: S-EPMC3426800 | biostudies-other | 2012
REPOSITORIES: biostudies-other
Publications
Graph-based signal integration for high-throughput phenotyping.
Herskovic Jorge R JR Subramanian Devika D Cohen Trevor T Bozzo-Silva Pamela A PA Bearden Charles F CF Bernstam Elmer V EV
BMC bioinformatics 20120824
<h4>Background</h4>Electronic Health Records aggregated in Clinical Data Warehouses (CDWs) promise to revolutionize Comparative Effectiveness Research and suggest new avenues of research. However, the effectiveness of CDWs is diminished by the lack of properly labeled data. We present a novel approach that integrates knowledge from the CDW, the biomedical literature, and the Unified Medical Language System (UMLS) to perform high-throughput phenotyping. In this paper, we automatically construct a ...[more]
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