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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.
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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...
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Chapter and Conference Paper
Improving the Use, Analysis and Integration of Patient Health Data
Health Information Technologies (HIT) are being deployed world- wide to improve access to individual patient information. Primarily this is through the development of electronic health records (EHR) and electr...
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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...