Titlebook: Data Management and Analytics for Medicine and Healthcare; Second International Fusheng Wang,Lixia Yao,Gang Luo Conference proceedings 2017

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Code Generation in Microsoft .NETeases. Due to the enormous sizes and dimensions of whole slide images, the analysis requires extensive computing resources which are not commonly available. Images have to be divided into smaller regions for processing due to computer memory limitations, which will lead to inaccurate results due to

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Stefan M. Freudenberger,John C. Ruttenberg require accessing medical archives and data source repositories of heterogeneous nature. Traditionally, in order to query data from these data sources, users manually access and download parts or whole of the data sources. The existing solutions tend to focus on a specific data format or storage, w

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C. W. Keßler,W. J. Paul,T. Rauberovarian cancer clinical research, and discuss important lessons learnt that would inspire the evaluation and enhancement for future generic cancer-specific data repository. We collected multiple types of heterogeneous clinical data, including demographic, outcome, chemo-treatment and lab-test inform

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https://doi.org/10.1007/978-3-7091-0121-6t data. Hence, there is requirement for standardized Hospital Information System (HIS). Also the HIS should be able to incorporate semantic interoperability. With technological advancement, clinicians and patients should get themselves involved in using the Electronic Health Records (EHRs). The curr

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Conference proceedings 2017 from 11 initial submissions. The papers are organized in topical sections on knowledge discovery of biomedical data; managing, querying and processing of medical image data; information extraction and data integration for biomedical data; and health information systems..

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