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    Reference Work Entry In depth

    Data Privacy and Patient Consent

    David Hansen, Christine M. O’Keefe in Encyclopedia of Database Systems (2018)

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    Living Reference Work Entry In depth

    Data Privacy and Patient Consent

    David Hansen, Christine M. O’Keefe in Encyclopedia of Database Systems

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    Chapter and Conference Paper

    Challenges and Opportunities for Health Information Systems Research

    Health systems around the world are increasing the adoption of electronic health records to improve access to patient data for administrative, treatment and research purposes.

    David Hansen in Health Information Science (2012)

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    Chapter and Conference Paper

    An Intelligent Approach to Surgery Scheduling

    The Multiagent Systems paradigm offers expressively rich and natural fit mechanisms for modeling and negotiation for solving distributed problems. Solving complex and distributed real world problems in dynamic...

    Sankalp Khanna, Abdul Sattar, Justin Boyle in Principles and Practice of Multi-Agent Sys… (2012)

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    Chapter and Conference Paper

    Multiagent Based Scheduling of Elective Surgery

    Scheduling of patients, staff, and resources for elective surgery in an under-resourced and overburdened public health system represents an inherently distributed class of problems. The complexity and dynamics...

    Sankalp Khanna, Timothy Cleaver in Principles and Practice of Multi-Agent Sys… (2012)

  6. No Access

    Reference Work Entry In depth

    Data Privacy and Patient Consent

    David Hansen, Christine M. O’Keefe in Encyclopedia of Database Systems (2009)

  7. No Access

    Chapter and Conference Paper

    On Multidimensional Wavelet Synopses for Maximum Error Bounds

    Having been extensively used to summarize massive data sets, wavelet synopses can be classified into two types: space-bounded and error-bounded synopses. Although various research efforts have been made for th...

    Qing Zhang, Chaoyi Pang, David Hansen in Database Systems for Advanced Applications (2009)

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    Chapter and Conference Paper

    Building Data Synopses Within a Known Maximum Error Bound

    The constructions of Haar wavelet synopses for large data sets have proven to be useful tools for data approximation. Recently, research on constructing wavelet synopses with a guaranteed maximum error has gai...

    Chaoyi Pang, Qing Zhang, David Hansen in Advances in Data and Web Management (2007)