Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods.
Journal:
Artificial intelligence in medicine
Published Date:
Jun 25, 2016
Abstract
OBJECTIVE: The combination of phenomic data from electronic health records (EHR) and clinical data repositories with dense biological data has enabled genomic and pharmacogenomic discovery, a first step toward precision medicine. Computational methods for the identification of clinical phenotypes from EHR data will advance our understanding of disease risk and drug response, and support the practice of precision medicine on a national scale.
