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T he U.S. pharmaceutical industry spent upwards of $18 billion on marketing drugs in 2005; detailing and drug sampling activities accounted for the bulk of this spending. To stay competitive, pharmaceutical managers need to maximize the return on these marketing investments by determining which physicians to target as well as when and how to target them. In(More)
BACKGROUND AND PURPOSE This study aimed to identify predictors of acute mortality after intracerebral hemorrhage (ICH), including voxel-wise analysis of hematoma location. METHODS In 282 consecutive patients with acute ICH, clinical and radiological predictors of acute mortality were identified. Voxel-based lesion-symptom mapping examined spatial(More)
We propose a linearly penalized support vector machines (LP-SVM) model for feature selection. Its application to a problem of customer retention and a comparison with other feature selection techniques underlines its effectiveness. 1 Introduction One of the tasks of Statistics and Data Mining consists of extracting patterns contained in large data bases. In(More)
BACKGROUND Various methods to perform spontaneous breathing trials (SBTs) exist, but no one method has been shown to be superior. Automatic tube compensation (ATC) is a new and potentially advantageous ventilation mode to use during SBT. We compared ATC to continuous positive airway pressure (CPAP) during SBTs, to determine their efficacy in identifying(More)
RATIONALE Predictions of duration of mechanical ventilation are frequently made by intensivists and influence clinical decisions. OBJECTIVES We aimed to measure the accuracy of these clinical early predictions. METHODS One hundred fifty-five patients within 48 hours of initiation of mechanical ventilation on a general intensive care unit had clinical(More)
One of the main tasks of Conjoint Analysis is to identify consumer preferences about potential products or services. Accordingly, different estimation methods have been proposed to determine the corresponding relevant attributes. Most of these approaches rely on the post-processing of the estimated preferences to establish the importance of such variables.(More)
To optimally allocate its marketing mix across customers, a firm needs to consider the evolution of its customers over time. Changes in the marketing environment, as well as intrinsic changes in preferences or needs, may discretely shift customers into different buying-behavior states. The ability to identify the dynamics in customer behavior and its(More)