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Fingerhut Business Intelligence (BI) has a long and successful history of building statistical models to predict consumer behavior. The models constructed are typically segmentation-based models in which the target audience is split into subpopulations (i.e., customer segments) and individually tailored statistical models are then developed for each(More)
The liver regulates cholesterol homeostasis and eliminates excess cholesterol as bile acids or biliary cholesterol. Free cholesterol for bile acid synthesis or biliary secretion is obtained by the hydrolysis of stored cholesteryl esters or from cholesteryl esters taken up by the liver from high-density lipoproteins via a selective uptake pathway. The(More)
BACKGROUND The most important determinant of longevity in pulmonary arterial hypertension is right ventricular (RV) function, but in contrast to experimental work elucidating the pathobiology of left ventricular failure, there is a paucity of data on the cellular and molecular mechanisms of RV failure. METHODS AND RESULTS A mechanical animal model of(More)
The Data Abstraction Research Group was formed in the early 1990s, to bring focus to the Mathematical Sciences department's work in the emerging area of Knowledge Discovery and Data Mining (KD&DM). Most activities in this group have been performed in the technical area of predictive modeling, roughly at the intersection of machine learning, statistical(More)
INTRODUCTION Neutrophil extracellular trap (NET) formation was recently identified as a novel mechanism to kill pathogens. However, excessive NET formation in sepsis can injure host tissues. We have recently shown that parenteral vitamin C (VitC) is protective in sepsis. Whether VitC alters NETosis is unknown. METHODS We used Gulo-/- mice as they lack the(More)
— We describe a grid-based approach for enterprise-scale data mining that leverages database technology for I/O parallelism, and on-demand compute servers for compute parallelism in the statistical computations. By enterprise-scale, we mean the highly-automated use of data mining in vertical business applications, where the data is stored on one or more(More)
IBM ProbE (for probabilistic estimation) is an extensible, embeddable, and scalable modeling engine, particularly well-suited for implementing segmentation-based modeling techniques, wherein data records are partitioned into segments and separate predictive models are developed for each segment. We describe the ProbE framework and discuss two key business(More)
Emerging research suggests that oxidant-driven transcription of key cytokine/chemokine networks within the myocardium plays a crucial role in producing ischemia-reperfusion (I/R) injury. We recently showed that activation of hypoxia-inducible factor-1 (HIF-1) attenuated cardiac I/R injury. Diminished injury in these prior studies was associated with(More)