Abstract
Big data refers to the data sets that have become so large and/or complex that traditional data technology is inadequate to process them effectively. Big data has large volume; changes quickly; has great variety; and has a good deal of uncertainty in its veracity. During the digitization of healthcare, hospitals become important sources of big data. Large volume of data is created from medical records, medical images, and distance medicine. For healthcare industry, big data analytics are evolving beyond traditional business intelligence and clinical decision support systems. It utilizes the vast amount of data gathered from healthcare networks for evidence-based medicine, propels precision medicine, health management, disease prevention, even the establishment and application of biobanks. This paper summarizes the current composition, characteristics, and trend of big data. It introduces the framework, tools, and methods for big data analytics. Key words: Big data analytics; Big data management; Precision medicine; Disease prevention
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