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

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Effects of Varying Sampling Frequency on the Analysis of Continuous ECG Data Streamsiate health status, not for real-time analysis because of technical challenges in real-time processing of such massive data. Data storage is also another challenge in making ICU data useful for retrospective studies. Therefore, it is important to know the minimal sampling frequency requirement to de
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Detection and Visualization of Variants in Typical Medical Treatment Sequencese medical processes by the secondary use of these records. Medical workers including doctors, nurses, and technicians generally use clinical pathways as their guidelines for typical sequences of medical treatments. The medical workers traditionally generate the clinical pathways themselves based on
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Association Rule Learning and Frequent Sequence Mining of Cancer Diagnoses in New York Stateves 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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Healthsurance – Mobile App for Standardized Electronic Health Records Database a standard based health application. Standards for semantic interoperability propose the use of archetypes for building a health application. A usual practice followed for storing of EHRs is through graphical user interfaces. Generally, user interface is static corresponding to the underlying medic
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0302-9743 r Medicine and Healthcare, DMAH 2017, in Munich, Germany, in September 2017, held in conjunction with the 43rd International Conference on Very Large Data Bases, VLDB 2017. . The 9 revised full papers presented together with 2 keynote abstracts were carefully reviewed and selected from 16 initial su
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https://doi.org/10.1007/978-3-319-08278-3proach of virtual and materialized data integrations. By allocating unique identifiers as pointers to virtually integrated data sets, . supports efficient data sharing among data consumers. We design . as a generic service-based data integration system, and implement and evaluate a prototype for multimodal medical data.
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