Advanced Big Data Analytics for -Omic Data and Electronic Health Records: Toward Precision Medicine.

Wu PY, Cheng CW, Kaddi C, Venugopalan J, Hoffman R, Wang MD.

Abstract

OBJECTIVE:

Rapid advances of high-throughput technologies and wide adoption of electronic health records (EHRs) have led to fast accumulation of -omic and EHR data. These voluminous complex data contain abundant information for precision medicine, and big data analytics can extract such knowledge to improve the quality of health care.

METHODS:

In this article, we present -omic and EHR data characteristics, associated challenges, and data analytics including data pre-processing, mining, and modeling.

RESULTS:

To demonstrate how big data analytics enables precision medicine, we provide two case studies, including identifying disease biomarkers from multi-omic data and incorporating -omic information into EHR.