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Computer-assisted reading and analysis of text has applications in the humanities and social sciences. Ever-larger electronic text archives have the advantage of allowing a more complete analysis but the disadvantage of forcing longer waits for results. On-Line Analytical Processing (OLAP) allows quick analysis of multidi-mensional data. By storing(More)
The litOLAP project seeks to apply the Business Intelligence techniques of Data Ware-housing and OLAP to the domain of text processing (specifically, computer-aided literary studies). A literary data warehouse is similar to a conventional corpus, but its data is stored and organized in multidimensional cubes, in order to promote efficient end-user queries.(More)
WHAT IS KNOWN AND OBJECTIVE The prescription of potentially inappropriate medications (PIMs) for older adults is a well-known population health concern. Updated country-specific estimates of inappropriate prescribing in older adults using germane explicit criteria are needed to facilitate physician-tailored quality improvement strategies. Therefore, we(More)
WHAT IS KNOWN AND OBJECTIVES Although quality improvement initiatives targeting physician practice patterns have been effective, evidence is lacking on their long-term sustainability. We previously demonstrated the success of a population-wide, physician-focused quality improvement intervention targeting potentially inappropriate prescribing (PIP) in an(More)
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