Abstract
Precision medicine is a medical model that recommends custom-tailored products, techniques, treatments, and decisions for a subgroup of patients having the same biological basis of diseases. Due to the huge size and complexity of omics data and dataset of patient features, they cannot be analyzed directly by doctors. Big data is a term used for complex or large datasets that cannot be accurately processed or stored by traditional management tools. Omics and electronic health record (EHR) data are essential big biomedical data having a strong association with precision medicine. In this chapter, we review the importance of analyzing EHR and omics data in precision medicine. Big data analytics has been applied to healthcare in biomarker discovery and disease subtyping, drug repurposing, and integrating omics data into EHR. This will provide the most appropriate and efficient treatment to every patient on the basis of their subtyping data.
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