–Omic and electronic health record big data analytics for precision medicine
PY Wu, CW Cheng, CD Kaddi… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
IEEE Transactions on Biomedical Engineering, 2016•ieeexplore.ieee.org
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 healthcare. Methods: In this
paper, we present-omic and EHR data characteristics, associated challenges, and data
analytics including data preprocessing, mining, and modeling. Results: To demonstrate how …
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 healthcare. Methods: In this
paper, we present-omic and EHR data characteristics, associated challenges, and data
analytics including data preprocessing, mining, and modeling. Results: To demonstrate how …
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 healthcare.
Methods
In this paper, we present -omic and EHR data characteristics, associated challenges, and data analytics including data preprocessing, 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.
Conclusion
Big data analytics is able to address -omic and EHR data challenges for paradigm shift toward precision medicine.
Significance
Big data analytics makes sense of -omic and EHR data to improve healthcare outcome. It has long lasting societal impact.
ieeexplore.ieee.org