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Translational Biomedical Informatics
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408 b
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The book introduces methods and applications in translational biomedical informatics, which include biomedical big data, cloud computing and algorithms for understanding omics data, imaging data, electronic health records and public health data. The storage, retrieval, mining and knowledge discovery of biomedical big data will be among the key challenges for translational research.§The paradigm for precision medicine and healthcare needs to integrative analyze not only the data at same level such as different omics data at molecular level, but also data from different levels of molecular, cellular, tissue, clinical and public health.§This volume discusses the structure of cross-level data; clinical patient information and its shareability; standardization and privacy. Written for biologists, biomedical informatics scientists and clinicians with an interest in Precision Medicine Informatics.§§
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