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• W2754070112 abstract "With the improvement of infrastructures and techniques, “Big Data” provides great opportunities to health informatics, but at the same time raises unparalleled challenges to data scientists. As an interdisciplinary field, the health data are not limited to electronic health record (EHR), as more and more molecular-level data are used for disease diagnosis and prognosis in clinics. Effectively integrating and mining these data holds an indispensable key to translate theoretical models into clinical applications in precision medicine. In this chapter, we briefly demonstrate different data levels involved in health informatics. Then we introduce some general data mining approaches applied to different levels of health data. Finally, a case study is illustrated as an example for applying computational methods on mining long-term EHR data in epidemiological studies." @default.
• W2754070112 created "2017-09-25" @default.
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• W2754070112 date "2017-01-01" @default.
• W2754070112 modified "2023-09-23" @default.
• W2754070112 title "Big Health Data Mining" @default.
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• W2754070112 doi "https://doi.org/10.1007/978-3-319-44981-4_11" @default.
• W2754070112 hasPublicationYear "2017" @default.
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