Titlebook: Data Management and Analytics for Medicine and Healthcare; Third International Edmon Begoli,Fusheng Wang,Gang Luo Conference proceedings 2

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Jeffrey Svajlenko,Chanchal K. Royon systems to facilitate the storage and access to patient data, many records are still in paper. Even when data is stored electronically, systems often are complex to use and do not provide means to gather statistical information about a population of patients, thus limiting the usefulness of the d

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Savo G. Glisic,Pentti A. Lepp?nenves make it possible to access statewide patient data at individual level, such as New York State SPARCS data. The goal of this study is to explore frequent disease co-occurrence and sequence patterns of cancer patients in New York State using SPARCS data. Our collection includes 18,208,830 discharg

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Data Management and Analytics for Medicine and Healthcare978-3-319-67186-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

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How Blockchain Could Empower eHealth: An Application for Radiation Oncologyckchain provides a shared, immutable and transparent history of all the transactions to build applications with trust, accountability and transparency. This provides a unique opportunity to develop a secure and trustable EMR data management and sharing system using blockchain. In this paper, we disc

epidermis

On-Demand Service-Based Big Data Integration: Optimized for Research Collaborationand variety of big data, materialized data integration is often infeasible or too expensive including the costs of bandwidth, storage, maintenance, and management. . (.n-demand .ig Data .ntegration, .istribution, and .rchestration .ystem) provides a novel on-demand integration approach for heterogen

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, – A Service for Collecting, Organizing, Processing, and Sharing Medical Image Data in the Cloudful APIs, and distributed computing allows for complex systems to be realized that address the needs of modern compute intense environments. In this paper, we present a web-based medical image data and information management software platform called . (.loud .ealthcare .mage .rocessing .ervice). Thi

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High Performance Merging of Massive Data from Genome-Wide Association Studiesmerging large number of individual Genome-Wide Associations Studies (GWAS) data. Although the emerging of big data platforms such as Hadoop and Spark shed lights on this problem, the inefficiency of keeping data in total-sorted order as well as the workload imbalance problem limit their performance.

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An Emerging Role for Polystores in Precision Medicinent and promising field of precision medicine, which focuses on identifying and tailoring appropriate medical treatments for the needs of the individual patients, based on their specific conditions, their medical history, lifestyle, genetic, and other individual factors. As we, and a database communi